Задачи:
— Участие в разработке и деплое ML/LLM решений.
— Применение Prompt Engineering и методов Fine-tuning/PEFT.
— Построение RAG пайплайнов и работа с векторными базами данных.
— Оптимизация производительности LLM и оценка их качества.
— Разработка с использованием мультимодальных моделей.
Требования:
— Уверенное владение Python.
— Опыт деплоя ML/LLM решений с использованием Docker, Kubernetes, облачных платформ AWS, GCP, Azure.
— Опыт работы с Prompt Engineering (few-shot, chain-of-thought, ReAct).
— Знание Fine-tuning / PEFT (LoRA, QLoRA, adapters).
— Опыт построения RAG пайплайнов (chunking → embedding → retrieval → генерация).
— Умение работать с векторными базами данных (Qdrant, Pinecone, Milvus, FAISS).
— Опыт RLHF или работы с синтетическими данными (предпочтения, генерация и фильтрация).
— Знание фреймворков LangChain, LlamaIndex, Hugging Face.
— Опыт оценки LLM (BLEU, ROUGE, MMLU, кастомные эвалы).
— Опыт оптимизации инференса (vLLM, TensorRT, ONNX).
— Опыт работы с мультимодальными моделями (LLaVA, GPT-4V, Qwen-VL).
— Грейд Middle/Middle+.
Условия:
— Полная занятость.
— Удалённый формат работы.
— Интересные проекты в области ИИ.
О ПРОЕКТЕ
Ocean AI развивает сложные высоконагруженные продукты, интегрирующие блокчейн-технологии и искусственный интеллект. Мы ищем инженера для построения надежной платформенной основы, способной выдерживать специфические нагрузки Web3-нод и AI-моделей.
ОСНОВНЫЕ ЗАДАЧИ
— Развитие и оптимизация облачной инфраструктуры на базе Kubernetes.
— Проектирование и поддержка полных циклов CI/CD (от сборки до автоматических откатов).
— Обеспечение высокой доступности (HA), масштабирования и глубокой observability систем.
— Сопровождение специфической инфраструктуры: Web3 (ноды, RPC, индексеры) и AI (LLM, RAG).
— Внедрение и контроль стандартов безопасности (Secrets management, SAST/DAST).
ТРЕБОВАНИЯ К КАНДИДАТУ
— 6+ лет опыта в эксплуатации высоконагруженных систем.
— Глубокие знания Kubernetes, Helm и IaC (Terraform / Ansible).
— Опыт работы с современным CI/CD стеком (GitLab, GitHub Actions, ArgoCD).
— Владение инструментами Observability (Prometheus, Grafana, логирование и трассировка).
— Опыт администрирования PostgreSQL, Redis, Kafka и работы с облаками (AWS/GCP/Azure).
— Понимание сетевых протоколов (TCP/IP, DNS, TLS) и системного администрирования Linux.
ОБЯЗАТЕЛЬНЫЙ СПЕЦИФИЧЕСКИЙ ОПЫТ
— Web3: практическая работа с нодами, ключами и on/off-chain синхронизацией.
— AI: опыт вывода LLM/RAG в продакшен, оптимизация latency и стоимости ресурсов.
— Security: обеспечение безопасности цепочек поставок и управления секретами.
УСЛОВИЯ РАБОТЫ
— Полностью удаленный формат из любой точки мира.
— Гибкий подход к юридическому оформлению сотрудничества.
— Прямое влияние на архитектуру платформы в динамично растущей компании.
Location: Singapore, Singapore
OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa.
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About the Opportunity
You will be responsible for product planning and solution design for an enterprise-grade AI Native engineering platform, driving the deep integration of AI Agents, AI Coding, knowledge capabilities, and engineering platform systems. The goal is to build an intelligent product system covering requirement analysis, solution design, development collaboration, testing validation, environment orchestration, and knowledge accumulation.This role serves complex engineering processes and multi-role collaboration scenarios. You are expected to design AI product capabilities that can be embedded into workflows, measured for impact, and continuously evolved in real enterprise environments, enabling the product to scale from pilot adoption to broad organizational rollout.
What You’ll Be Doing
Lead the
product planning, requirement analysis, and solution design
of the AI Native engineering platform, and drive continuous product evolution and adoption.
Develop a deep understanding of the end-to-end engineering lifecycle, and translate the core scenarios and collaboration patterns of product, design, engineering, QA, and operations teams into structured product solutions.
Design
AI Agent capabilities for engineering scenarios
, including requirement analysis, solution generation, coding collaboration, test generation, environment orchestration, and knowledge accumulation.
Drive the integration of AI capabilities with
code repositories,
CI/CD
pipelines, testing platforms, deployment environments, and knowledge platforms
to deliver a unified end-to-end product experience.
Establish mechanisms for
product effectiveness evaluation, user feedback, and continuous optimization
, and support the product’s scale-up from pilot validation to broad adoption.
What We Look For In You
Bachelor’s degree or above
, preferably in Computer Science, Software Engineering, Artificial Intelligence, or related fields.
6+ years
of experience in ToB products, platform products, or intelligent product solutions.
Must have an
engineering background
, such as software development, test development, architecture, or technical product roles, with the ability to work effectively with engineering teams.
Strong understanding of
DevOps
, engineering productivity, software delivery processes, and quality systems
, with the ability to abstract and productize complex workflows.
Solid understanding of
AI Agent product design
, with the ability to design for task execution, workflow orchestration, result validation, and delivery closure.
Familiarity with mainstream AI coding products, with strong hands-on experience or product understanding of
Claude Code
, Codex,
Cursor
, and Copilot
, as well as context engineering, knowledge input, tool integration, human-in-the-loop collaboration, and governance considerations.
Strong structured thinking, cross-functional collaboration, and execution skills; experience with
engineering platforms,
DevOps
platforms, platform products, or intelligent products
is a plus.
Nice to Haves
Experience with products related to
AI Agents, RAG, knowledge graphs, Copilot, or intelligent workflows
.
Experience building
engineering platforms,
DevOps
platforms, or platform products
from 0 to 1 or from 1 to N.
Hybrid background of
engineering-to-product transition
, or contributions to open source, communities, or public thought leadership in AI or engineering productivity.
Perks & Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Singapore, Singapore
OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa.
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About the Opportunity
You will be responsible for the core architecture design and technical delivery of an enterprise-grade AI Native engineering platform, driving the deep integration of large language models, AI Agents, knowledge capabilities, and the software development lifecycle. The platform will support intelligent capabilities across requirement analysis, solution generation, coding collaboration, test automation, and environment orchestration.This role focuses on engineering-grade AI implementation in complex R&D scenarios. You are expected to turn model capabilities into reusable, scalable, and governable platform capabilities, and continuously drive the evolution of the engineering platform toward an AI Native architecture.
What You’ll Be Doing
Lead the
overall architecture design and core capability development
of the AI Agent platform, including task orchestration, tool invocation, context management, memory mechanisms, and multi-agent collaboration.
Drive the
implementation of AI Native capabilities in engineering workflows
, including AI coding, technical solution generation, test case generation, test report generation, and automated environment deployment.
Build the
knowledge augmentation layer
for the platform, including the design, integration, and application of RAG, GraphRAG, and knowledge graph capabilities.
Establish the
runtime and governance framework
for AI Agents, including execution isolation, permission control, auditability, evaluation, stability, and cost governance.
Collaborate with product, engineering, QA, and operations teams to standardize, productionize, and scale platform capabilities, continuously improving engineering efficiency and delivery quality.
What We Look For In You
Bachelor’s degree or above
, preferably in Computer Science, Software Engineering, Artificial Intelligence, or related fields.
6+ years
of experience in backend engineering, platform engineering, or infrastructure engineering, with strong system design and delivery capabilities.
Proficient in
Java / Python
, with solid coding skills, architectural thinking, and experience building complex systems.
Strong understanding of
LLM
and AI Agent architectures
, including task decomposition, tool use, context management, memory, execution loops, and exception handling.
Hands-on experience with
LangChain and LangGraph
, and strong familiarity with mainstream AI coding tools or frameworks such as
Claude Code
, Codex,
Cursor
, and Copilot
.
Experience in designing or developing
RAG / GraphRAG / knowledge graph
solutions for enterprise knowledge augmentation and engineering use cases.
Good understanding of
DevOps
,
CI/CD
,
Kubernetes
, and cloud-native technologies
, with strong cross-functional collaboration and execution skills.
Nice to Haves
Experience contributing to
open-source projects
related to AI Agents, AI Coding, RAG, or knowledge graphs.
Experience building
enterprise engineering platforms,
DevOps
platforms, or AI platforms
.
Familiarity with open-source Agent projects such as
openclaw, openhands/openharness, or Hermes
.
Perks & Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Sydney
Workplace: Hybrid
ABOUT US
Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.
We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.
Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs.
WHAT YOU’LL DO
- Design and deliver production-grade AI agents https://sierra.ai/blog/meet-the-ai-agent-engineer: You'll build and ship highly performant, reliable, and intuitive AI agents that are central, mission-critical and drive revenue directly to Sierra's growth. These aren't prototypes—they are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce.
- Drive the Agent Development Life Cycle https://sierra.ai/blog/agent-development-life-cycle (ADLC): You'll have complete ownership and autonomy from initial pilot through deployment and continuous iteration. You'll be responsible for building, tuning, and evolving AI agents in production environments, defining the standard for ADLC best practices along the way.
- Partner with large enterprises and cutting-edge startups: You’ll work directly with leaders at some of the world’s largest enterprises to understand their most pressing business challenges, and build AI agents that transform how they operate at scale. You'll also partner with the most cutting-edge startups, embedding AI agents across their entire business stack to drive innovation and efficiency.
- Build the future of the platform: Your direct work with customers will guide the evolution of Sierra's core platform. You'll surface unmet needs, prototype new tools and features, and collaborate with research, product, and platform to shape the future of AI agent development and Sierra's product.
EXAMPLE PROJECTS
These are some examples of projects that engineers on our team have worked on recently:
- Design and build AI agents for large telecommunications and media companies that consistently outperform human agents in managing subscription churn
- Develop and refine AI agents capable of navigating complex customer interactions, like troubleshooting a broken device and personalizing product recommendations
- Create generalizable AI agent frameworks tailored for industry-specific use cases. See some examples in our financial services blog https://sierra.ai/blog/five-ways-to-use-ai-agents-financial-services!
- Facilitate design partnerships for new product initiatives, such as new agent architectures, self-service capabilities, and generative agent development
- Experiment with the latest voice models and figure out how to integrate them at scale to enterprise-grade customers
WHAT YOU'LL BRING
- Experience building and scaling end-to-end production systems
- Strong technical problem-solving skills, especially in fast-changing, ambiguous environments
- A builder and tinkerer’s mindset with high agency - you find creative ways to overcome obstacles and ship
- Comfort working directly with customers to understand their needs and solve real-world problems
- Excellent communication skills - clear, direct, and persuasive across technical and non-technical audiences
EVEN BETTER...
- Experience building or deploying AI/LLM systems in production
- Have been a founder or founding engineer - you know what it means to balance craft, ownership, and speed
- Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering
- Prior experience with React, TypeScript, and/or Go
- Previous roles where you interfaced with customers or led technical projects with external stakeholders
OUR VALUES
- Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.
- Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.
- Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.
- Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.
- Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.
WHAT WE OFFER
We want our benefits to reflect our values and offer the following to full-time employees:
- Flexible (unlimited) paid time off
- Medical, dental, and vision benefits for you and your family
- Life insurance and disability benefits
- Retirement plan dependent on country of employment
- Parental leave
- Fertility and family building benefits
- Lunch, as well as delicious snacks and coffee to keep you energized when working onsite
- Discretionary benefit stipend giving people the ability to spend where it matters most
- Free alphorn lessons
These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.
BE YOU, WITH US
We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description.
Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy.
We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.
Location: USA (Remote); Slovakia (Remote); Spain (Remote); Czechia (Remote); Switzerland (Remote); Estonia (Remote); Mexico (Remote); Israel (Remote); Bulgaria (Remote); Austria (Remote); Iceland (Remote); Croatia (Remote); Hungary (Remote); Ireland (Remote); Canada (Remote); South Africa (Remote); Brazil (Remote); Finland (Remote); UK (Remote); Cyprus (Remote); Malta (Remote); Latvia (Remote); Argentina (Remote); Poland (Remote); Uruguay (Remote)
Workplace: Remote
WHO WE ARE
Hi, we're DuckDuckGo, the online protection company and remote-first team of 400+ on a mission to raise the standard of trust online. Founded in 2008 and profitable since 2014, our annual revenue is in the hundreds of millions USD and millions use our browser on Mac https://spreadprivacy.com/introducing-duckduckgo-for-mac/, Windows https://spreadprivacy.com/windows-browser-open-beta/, iOS https://spreadprivacy.com/duckduckgo-privacy-browser-ios14/, and Android https://spreadprivacy.com/introducing-app-tracking-protection/, our search engine https://duckduckgo.com/, and the DuckDuckGo subscription https://duckduckgo.com/pro. We also offer private, useful, and optional AI, including Duck.ai https://duck.ai/, which lets you chat privately with ChatGPT, Claude, and other AIs, all in one place.
Our culture https://duckduckgo.com/how-we-work of trust, inclusivity, and empowered project management underpins everything we do, where each team member takes full ownership of their projects, from scoping and execution to postmortem. If you're seeking end-to-end ownership of your work, you've come to the right place!
YOUR TEAM AND ROLE
Working on the Backend Functional Team, you'll lead complex projects across key company-wide objectives. Using Perl (Version 5), Go, and Node.js, you’ll write pragmatic, performant, testable code that works consistently, and work on related projects. Recent projects include:
- Implementing AI-assisted answers and integrating them into our Search product while maintaining our privacy-first approach
- Delivering improvements to Duck.ai to help us make it a competitive AI chat alternative for both free and paying users
- Implementing sophisticated data processing pipelines that maintain search relevancy
As a Senior Backend Engineer, you'll collaborate remotely with your peers and take responsibility for solving product issues impacting our all-in-one privacy solution, whether large or small. In time, you'll formally mentor other engineers, supporting their career growth and the growth of the Backend Team at DuckDuckGo.
ABOUT YOU
- 7+ years of professional experience, primarily focused on backend systems that power consumer-facing products
- Product acumen to reason about technical tradeoffs in terms of user impact
- Familiarity with AI agent tooling: evaluation frameworks, RAG pipelines and prompt engineering
- A fundamental understanding of complex data structures and algorithms — you can develop and apply new solutions and confidently navigate and improve existing code.
- Data-driven analytical skills for decision-making, stakeholder alignment, and experiment-oriented delivery
- Solid project management abilities
- Excellent written and verbal communication to validate and articulate decisions
- Previous experience leading and mentoring experienced engineers, supporting their career goals, and unlocking their potential.
COMPENSATION
This role is paid on a regional pay scale, in local currency, and stock options:
- United States: $190,500 USD annually
- United Kingdom: £134,600 GBP annually
- Canada: C$253,500 CAD annually
- Europe/Rest of World: €157,350 EUR annually
In Spain, pay is expected to transition to the EUR scale on January 1, 2027, and in other Europe/Rest of World countries on February 1, 2027.
Compensation is transparent across the organization, and all team members within the same professional level and global region receive the same compensation.
Eligibility for company-sponsored health benefits is limited to team members based in the United States. This program does not extend to team members located in other countries, such as Canada or the UK.
Our Team Member Support Guide https://duckduckgo.com/assets/hiring/team_support_guide.pdf explains how we prioritize your wellbeing including paid parental leave, office setup, and co-working allowances.
HIRING PROCESS
Hiring works best when it's a two-way street. Learn how we help you get to know DuckDuckGo, envision your future role here, and find out more about how we hire https://duckduckgo.com/how-we-hire.
DIVERSITY, EQUITY AND INCLUSION
DuckDuckGo provides equal work opportunities to all team members and applicants, and it prohibits discrimination and harassment of any type on the basis of race, color, ethnicity, caste, religion, age, sex (including pregnancy), national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by our policies or federal, state, or local laws.
We want to ensure that our hiring process is accessible. If you need reasonable accommodation for any part of the application process because of a medical condition or disability, please send an email to careers@duckduckgo.com to let us know the nature of your request.
PLEASE NOTE THAT:
- You’ll be required to attend meetings on camera via video conferencing
- Expect to travel at least two times a year: once for our all-hands meetup and again for a team retreat (each around 4-5 days). While extenuating circumstances may impact attendance, everyone is strongly encouraged to attend.
- While we offer a flexible work arrangement with no core hours, expect an average full-time commitment of 40 hours per week.
- A successful candidate must pass a background check as a condition of joining the team.
- By applying for this role, you confirm that all information submitted is accurate and complete. You further acknowledge that providing false or fraudulent information during the application process is cause for denial of an offer, revocation of any existing offer, or other adverse action, up to and including termination after the start of your commencement of work.
Disclosure Statement: Use of AI in Hiring Process
As part of our commitment to enhancing our recruitment process, we utilize artificial intelligence (AI) technology to assist in reviewing and summarizing job applications and test projects, including those tools integrated into our recruitment vendor platforms. We use AI to flag potentially fraudulent applications, analyze and summarize applicants’ experience, interviews, and project performance, and help streamline our selection process.
Key Principles:
- Data Privacy: All information provided in your application will be handled in accordance with our Recruiting Privacy Policy https://duckduckgo.com/static-assets/files/pages/careers/DuckDuckGo-Recruiting-Privacy-Policy-effective-September-30-2025.pdf. We ensure that your personal information is protected and used solely for recruitment purposes.
- Human Oversight and Accountability: The AI technology is designed to support our hiring team by providing insights and summaries of applications and evaluations of test projects against scoring rubrics. All final evaluations and hiring decisions, however, will be made by our hiring team, who will consider the AI's input alongside other factors.
- Transparency: We believe in transparency regarding our hiring practices. If you have any questions about how AI is used in our recruitment process, please feel free to reach out to us.
By submitting your application, you acknowledge and consent to the use of AI technology in our review process. If you would like to request an alternative selection process, please contact us as at careers@duckduckgo.com. Thank you for your interest in joining DuckDuckGo!
#LI-DNI
Location: Global
Talent is everywhere, opportunity is not. Sora Union changes that.
Sora Union
is a globally distributed professional services company that specializes in Design, Software Engineering, QA. Our experienced talent comes from communities where there is displacement or risk of displacement due to conflict or climate change. We provide services to global companies and start-ups across various industries, including healthcare, financial services, technology, and education.
We are seeking a Forward Deployed Engineer to join our growing team, where you will act as an internal entrepreneur, driving AI initiatives from ideation to production both internally and for our customers.
As a FDE, you will work closely with the Engineering , Product/Brand Design, and QA teams.
You'll be responsible for:
Customer-Facing AI Solutions: Act as the primary technical partner for customers, translating operational needs into production-grade AI experiences.
End-to-End Implementation: Own projects entirely, from data cleaning and prototyping to full deployment, monitoring, and debugging in customer environments.
Performance Optimization
:
Implement model compression, quantization, and efficient serving techniques to meet strict latency and throughput requirements for customer-facing applications.
Advanced Prompt Engineering & LLM Customization: Develop sophisticated prompt chaining, self-correction mechanisms, and context management strategies (e.g., using RAG architectures) to enhance LLM application performance and accuracy.
Ideally, you'll have:
AI/ FDE Development Experience: 3+ years of experience building and deploying production-level AI/ML models.
MLOps Tooling: Hands-on experience with MLOps platforms and tools such as MLflow, Kubeflow, or Weights & Biases for experiment tracking and model registry.
Technical Proficiency: Strong expertise in Python and deep learning frameworks (TensorFlow, PyTorch), along with experience in LLM orchestration frameworks (e.g., LangChain, LlamaIndex).
Data Engineering/API Skills: Proven ability to build and maintain high-performance, low-latency RESTful APIs (e.g., using FastAPI or Flask) for serving models, and strong proficiency in SQL/NoSQL databases for data integration.
Customer-Facing Experience: Proven ability to work directly with stakeholders to define requirements and deliver value, ideally in a consulting or specialized engineering role.
Deployment Expertise: Experience containerizing models (Docker) and deploying to cloud environments (AWS, GCP, or Azure).
Entrepreneurial Mindset: Ability to thrive in a fast-paced environment, taking initiative to solve ambiguous problems
Sora Union is committed to creating and fostering a diverse team. We encourage people from underrepresented backgrounds and all walks of life to apply. We are committed to providing reasonable accommodations to all applicants throughout the application process.
Location: London
Perplexity is looking for a Search Machine Learning Engineer Intern to help build the next generation of advanced search technologies, with a focus on retrieval and ranking. You will work closely with experienced engineers to improve search quality, experiment with new models, and ship features that directly impact how users search and discover information.
Internship program: 12 - 24 weeks, full-time, in-person in the London office.
Responsibilities:
- Contribute to experiments that improve search quality through better models, data usage, and evaluation tools, under the guidance of senior engineers.
- Design and implement components of the search platform and model stack, including retrieval, ranking, and classification models.
- Train evaluating models (including LLM-based approaches) for retrieval, ranking, and classification tasks.
- Support deployment and monitoring of search and ranking models in a scalable and performant way.
- Help build and iterate on RAG pipelines for grounding and answer generation.
- Collaborate with Data, AI, Infrastructure and Product teams to deliver improvements quickly and learn best practices in production ML.
Qualifications:
- Strong foundation in machine learning and statistics, with coursework or projects related to information retrieval, ranking, or recommender systems.
- Experience with Python and common ML frameworks (e.g. PyTorch, TensorFlow, JAX) through academic, open source, or personal projects.
- Familiarity with evaluating model quality using offline metrics and/or A/B testing is a plus, but not required.
- Previous experience (internships, research, or significant projects) working on search, recommendation, or NLP is a plus, but not required.
- Self-driven and curious, with a strong sense of ownership, willingness to learn, and comfort working in a fast-paced environment
- Experience with Rust will be a plus
Location: London
Perplexity is looking for a Search Machine Learning Engineer Intern to help build the next generation of advanced search technologies, with a focus on retrieval and ranking. You will work closely with experienced engineers to improve search quality, experiment with new models, and ship features that directly impact how users search and discover information.
Internship program: 12 - 24 weeks, full-time, in-person in the London office.
Responsibilities:
- Contribute to experiments that improve search quality through better models, data usage, and evaluation tools, under the guidance of senior engineers.
- Design and implement components of the search platform and model stack, including retrieval, ranking, and classification models.
- Train evaluating models (including LLM-based approaches) for retrieval, ranking, and classification tasks.
- Support deployment and monitoring of search and ranking models in a scalable and performant way.
- Help build and iterate on RAG pipelines for grounding and answer generation.
- Collaborate with Data, AI, Infrastructure and Product teams to deliver improvements quickly and learn best practices in production ML.
Qualifications:
- Strong foundation in machine learning and statistics, with coursework or projects related to information retrieval, ranking, or recommender systems.
- Experience with Python and common ML frameworks (e.g. PyTorch, TensorFlow, JAX) through academic, open source, or personal projects.
- Familiarity with evaluating model quality using offline metrics and/or A/B testing is a plus, but not required.
- Previous experience (internships, research, or significant projects) working on search, recommendation, or NLP is a plus, but not required.
- Self-driven and curious, with a strong sense of ownership, willingness to learn, and comfort working in a fast-paced environment
- Experience with Rust will be a plus
Location: Distributed
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Available Location:
Calgary, Alberta
What you will do as a Customer Engineer
The Customer Engineer (CE) is the core driver of our technical go-to-market strategy: a trusted technical advisor and primary architect of the customer journey. You will bridge the gap between technical strategy and business value—guiding enterprise clients from initial pre-sales technical validation through onboarding, deployment architecture, and full lifecycle expansion. Sitting within the GTM organization and reporting to a Customer Engineering Leader, you will not hand off your customers once an initial agreement is reached. Instead, you will operate as a quota-carrying technologist, leveraging AI-augmented workflows to eliminate administrative toil so you can focus on high-value architectural design and driving measurable business outcomes across the entire customer journey.
Key Responsibilities
Technical Validation:
Partner closely with Account Executives to lead technical deep-dive discovery, capture business requirements, and map complex customer infrastructure - DNS, CDN, Zero Trust, Network Security, Workers - to fit-for-purpose Cloudflare architectures and bespoke solutions. . Define, scope, success criteria, and technical evaluations plans for Proof of Concepts (PoCs) and Technical Validations. Deliver tailored technical presentations, architectural diagrams, and demonstrations that show how Cloudflare solves specific performance, security, and reliability challenges. Proactively address complex technical objections, security compliance questions, and edge-case architectural requirements during the sales cycle. Take accountability for a suitable solution deployment strategy (Customer, Partner or Cloudflare Professional services) being an integral part of all proposals.
Customer Adoption & Value Realization:
Provide oversight to technical onboarding and implementation, but not execute the implementation, serving as the primary executive and engineering contact for the customer. Design structured migration and onboarding blueprints tailored to the customer’s environment (e.g. DNS migrations, Zero Trust rollouts, WAF tuning guidance), and act as the lead consultant for customer engineering teams, walking them step-by-step through configuration best practices. Partner with Account Executives to own discovery, demos, onboarding, technical health, risk, and expansion strategy. Proactively monitor customer health scores and telemetry to ensure rapid time-to-value, resolve integration bottlenecks, and reduce deployment risk.
Commercial Accountability & Expansion:
Carry a variable quota tied directly to new business acquisition and/or ongoing account growth. Be commercially accountable for ensuring deep platform adoption, retaining revenue, and identifying strategic cross-sell and up-sell opportunities based on product usage data. Lead technical Quarterly Business Reviews (QBRs) to translate platform capabilities into return on investment for C-level executives.
Trusted Advisory:
Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with key stakeholders from initial onboarding through maturity, renewal, and expansion. Provide thought partnership on architecture, AI control layers, security posture, and deployment confidence. Identify potential deployment risks or integration bottlenecks early, and provide remediation strategies to de-risk customer outcomes.
AI Orchestration & Workflow Automation:
Leverage AI agents, Large Language Models (LLMs), and internal platforms to automate routine tasks such as RFP/Security Questionnaire responses, sandbox provisioning, basic telemetry monitoring, and internal/external documentation, reclaiming your time for strategic customer advisory.
Education & Enablement:
Partner closely with the Enablement Team to design, build, and govern technical resources. Define, document, and educate both internal teams and customers on deliverables such as Standard Operating Procedures (SOPs), architectural best practices, and technical guides to continuously raise the technical baseline across the organization.
Minimum Qualifications
Experience: Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Professional Services, Sales Engineering, Technical Account Management, or as a Forward Deployed Engineer (years of experience required will vary based on Associate, Senior, Staff, or Principal leveling).
Architectural Mindset: Ability to white-board, design, and articulate complex enterprise network and security architectures clearly.
Consultative & Advisory Skills: Excellent communication skills with the ability to translate deeply technical concepts into business outcomes for both hands-on engineers and C-level executives.
Commercial Mindset: Proven track record of operating in a quota-carrying or revenue-aligned environment, with a strong understanding of SaaS metrics, business value translation, and enterprise sales cycles.
Communication: Exceptional presentation and stakeholder management skills, capable of bridging the gap between deep technical implementation details and high-level C-suite business strategy.
Technical Breadth: We do not expect every candidate to be an expert in every domain. Qualified candidates will demonstrate depth in at least four of the technical areas below:
Internet fundamentals: Deep understanding of how the Internet works, including OSI Model layers 1–7, BGP, GRE, TCP/UDP, DNS (authoritative and recursive), HTTP(S), and SSL/TLS.
Security: Expertise in the security of Internet properties, including WAF, Bot Management, Firewalls, Rate Limiting, (M)TLS, Zero Trust, and SASE concepts.
Performance: Expertise in the performance of Internet properties, including speed, latency, caching, video streaming, HTTP/2, and TLS 1.3.
AI Proficiency: Familiarity with prompt engineering, AI-assisted scripting and log analysis, LLM utilization, and workflow automation to augment everyday CE workflows.
Coding/Scripting: Proficiency in Python, JavaScript, Bash, Lua, Go, or similar languages to write custom integration scripts, API connectors, and edge computing functions.
Developer Platform Fluency: Experience designing, building, deploying or scaling applications using RESTful/GraphQL APIs, SDKs, webhooks, and developer tooling in cloud-native environments. Familiarity with infrastructure-as-code (Terraform, Pulumi), CI/CD pipelines, and observability for developer-led deployments.
Strongly Preferred Qualifications (The "Good-to-Haves")
Technical Enablement: Track record of creating and delivering technical enablement - workshops, code samples, documentation, or developer onboarding - that accelerates customer adoption of complex platforms.
Applied AI Knowledge: Experience with LLM orchestration, Retrieval-Augmented Generation (RAG) architectures, and model-access controls.
Regulatory Knowledge: Understanding of regulatory requirements such as PCI DSS, HIPAA, and SOC 2.
Hyperscaler / Digital Native Background: Talent coming out of hyperscalers, digital natives, distributed systems environments, or startups is strongly valued for its deeper cloud fluency and advanced architecture depth.
Education
Undergraduate or graduate degree in Computer Science, Engineering, or a related field.
Travel
This role will require travel up to 20–50% to attend customer meetings, conferences, industry events, and other in-person team meetings, within the assigned territory. For this reason, candidates must have reliable personal or local public transportation to complete all required travel. Required travel is reimbursable in accordance with the Company's Travel & Expense Policy, as it may be amended from time to time.
Compensation
This role features a competitive base salary and a variable compensation structure tied directly to the successful execution of full-lifecycle commercial targets, including new business acquisition, ongoing adoption milestones, and overall account expansion.
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo
: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project
: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1
: We released
1.1.1.1
to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our
privacy commitment
and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual
race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at
hr@cloudflare.com
or via mail at 101 Townsend St. San Francisco, CA 94107.
Location: Singapore, Singapore
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About The Opportunity
AI is not a feature at OKX. It is the next fundamental layer of how we serve users, operate at scale, and maintain trust in a regulated, global market.
We are hiring a
Senior Director/Vice President of Product, AI & Agent
to own OKX's full AI product agenda — outward, through a crypto-native AI assistant that transforms how users experience our platform; and inward, through agentic systems that make our operations intelligent, auditable, and scalable. This is a single role with a unified mandate: building the AI layer that defines OKX's next decade.
What You’ll Be Doing
User-Facing AI
Lead the strategy and execution of OKX's conversational AI assistant — an experience that lets users onboard, trade, stay informed, and get support through natural language. You will define what this product is, how it earns user trust, and how it deepens over time.
Operational AI & Agent Systems
Own the agentic AI roadmap for OKX's internal functions — compliance, risk, fraud, and operations. You will identify the highest-leverage workflows, lead their systematic transformation into agent-driven systems, and ensure every output is traceable and regulatorily defensible.
AI Platform
Own the product design of shared infrastructure that powers both mandates — orchestration, evaluation, safety architecture, and the governance layer that makes AI products configurable and auditable across all markets.
What We Look For In You
12+ years in product & tech, with 5+ years in a senior leadership role owning technically complex products at scale
Proven track record shipping conversational AI or agentic AI products — as the owner, not a contributor
Deep familiarity with LLM product architecture: multi-agent systems, RAG, tool use, evaluation, and safety design
Experience operating in regulated environments where auditability and explainability are hard requirements
Strong consumer product instinct alongside operational product rigor
Fluency in financial markets and what it takes to earn user and institutional trust
Executive-level communication in English and Mandarin
Nice-To-Haves
Background in crypto, fintech, or financial services at global scale
Graduate degree in a technical field
Experience with successful Conversational AI or Agentic AI products
Why this role
OKX operates at a scale where the gap between what AI can do and what we have built is still enormous. This role exists to close that gap — on both sides of the platform, simultaneously. If that is the kind of problem you want to own, we want to talk.
Perks & Benefits
Competitive total compensation package
L&D programs and education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
#LI-VW1 #ONSITE
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Задачи:
— Изучение текущих агентов, их ролей и реальных сценариев работы
— Анализ существующих промптов, логики и слабых мест
— Выявление дублирования, хаоса, нестабильности и неочевидных зависимостей
— Устранение серых зон и непредсказуемого поведения
— Упорядочивание версий промптов, сценариев и изменений
— Структурирование архитектуры AI‑логики
— Сбор базовых тест‑кейсов для ключевых сценариев
— Доработка агентов под новые бизнес‑задачи
— Повышение точности, стабильности и предсказуемости ответов
— Поддержка JSON‑логики и передачи данных в CRM
— Анализ реальных ошибок и нестандартных кейсов из работы команды
— Снижение галлюцинаций, излишней самодеятельности и сбоев на стыках процессов
— Сбор обратной связи от пользователей и её трансформация в системные улучшения
— Участие в развитии новых AI‑направлений, включая OpenClaw
— Постепенное превращение AI‑контура из набора решений в понятную и поддерживаемую систему
Требования:
— Работа с системными промптами в бизнес‑задачах
— Знание особенностей поведения LLM: ограничения, галлюцинации, follow instructions, контекст, few‑shot
— Навыки настройки структурированных выходов (JSON) и сценариев интеграции ответов в системы
— Способность диагностировать источник проблемы (промпт, данные, процесс, архитектура)
— Развитое системное мышление, самостоятельность
— Владение базовым Python
— Понимание принципов работы API и интеграционной логики
— Опыт работы с API LLM (Claude, OpenAI и аналоги)
— Опыт работы с knowledge base и RAG‑подходами
— Опыт проведения evals, AI‑testing и regression checks
— Участие в проектировании AI‑архитектуры, автоматизации или CRM‑процессов
— Создание тестовых сред, симуляторов диалогов и agent playground
— Работа с большими наборами диалогов, behavioral analysis и HITL‑подходами
— Интерес к OpenClaw или опыт работы с аналогичными подходами к управлению AI‑контекстом и памятью
Условия:
— Оформление по ИП
— Дружелюбная атмосфера внутри компании
— Развитие через реальные задачи, а не формальные курсы
— Возможность предлагать идеи и видеть, как они внедряются
— Гибкий график работы и возможность удаленной работы
— Оплата за фактически отработанное время
— Участие в интересных проектах без лишнего микроменеджмента
УдалённоseniorРоссия; gross в час Формат работы: удаленка из РФ (UTC +3) Длительность проекта: 6 месяцев с возможностью пролонгации Нагрузка: полная или частичная занятость Компания: Omega Solutions Проект: логистика Обязательные требования: Работа с системными промптами в бизнес‑задачах Знание особенностей поведения LLM: ограничения, галлюцинации, follow instructions, контекст, few‑shot Навыки настройки структурированных выходов (JSON) и сценариев интеграции ответов в системы Способность диагностировать источник проблемы (промпт, данные, процесс, архитектура) Развитое системное мышление, самостоятельность Владение базовым Python Понимание принципов работы API и интеграционной логики Опыт работы с API LLM (Claude, OpenAI и аналоги) Опыт работы с knowledge base и RAG‑подходами Опыт проведения evals, AI‑testing и regression checks Участие в проектировании AI‑архитектуры, автоматизации или CRM‑процессов Создание тестовых сред, симуляторов диалогов и agent playground Работа с большими наборами диалогов, behavioral analysis и HITL‑подходами Интерес к OpenClaw или опыт работы с аналогичными подходами к управлению AI‑контекстом и памятью Задачи на проекте: Изучение текущих агентов, их ролей и реальных сценариев работы Анализ существующих промптов, логики и слабых мест Выявление дублирования, хаоса, нестабильности и неочевидных зависимостей Устранение серых зон и непредсказуемого поведения Упорядочивание версий промптов, сценариев и изменений Структурирование архитектуры AI‑логики Сбор базовых тест‑кейсов для ключевых сценариев Доработка агентов под новые бизнес‑задачи Повышение точности, стабильности и предсказуемости ответов Поддержка JSON‑логики и передачи данных в CRM Анализ реальных ошибок и нестандартных кейсов из работы команды Снижение галлюцинаций, излишней самодеятельности и сбоев на стыках процессов Сбор обратной связи от пользователей и её трансформация в системные улучшения Участие в развитии новых AI‑направлений, включая OpenClaw Постепенное превращение AI‑контура из набора решений в понятную и поддерживаемую систему Условия: Оформление по ИП Дружелюбная атмосфера внутри компании Развитие через реальные задачи, а не формальные курсы Возможность предлагать идеи и видеть, как они внедряются Гибкий график работы и возможность удаленной работы Оплата за фактически отработанное время Участие в интересных проектах без лишнего микроменеджмента Match 0 % Good match This is a demo score
Location: New York, United States
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
About Tavily
We're building the search engine for AI agents. Our API powers agentic applications and real-time reasoning by connecting LLMs to high-quality, trustworthy web content. We work with some of the most innovative teams in AI — from startups shaping the ecosystem to enterprises deploying AI at scale.
The Team
Forward Deployed Engineering owns how Tavily shows up technically in the field. The team sits at the intersection of customers, Product, Engineering, Sales, Partnerships, Developer Relations, and Customer Success.
The Ecosystem FDE motion focuses on Tavily’s most important technical partners across the agentic AI stack — including model providers, agent frameworks, orchestration platforms, developer tools, ISVs, and emerging AI infrastructure companies.
The role
This is a full-time, on-site role based in our New York office.
As a Forward Deployed Engineer, Ecosystem, you’ll work directly with Tavily’s strategic partners to design, build, and launch solutions that make Tavily a core component of the modern agent stack. You’ll partner with external engineering and product teams to create high-quality integrations, reference implementations, demos, technical content, and joint solutions that help developers and companies build better AI agents.
You’ll be both a builder and a technical partner. You’ll ship code, shape integration strategy, influence product direction, and help Tavily become the default search and web access layer for agentic applications across the AI ecosystem.
Your responsibilities will include:
Work directly with ecosystem partners, including model providers, agent frameworks, orchestration platforms, AI developer tools, ISVs, and infrastructure companies.
Design, build, and maintain high-quality integrations that make Tavily easy to adopt across the modern AI and agent stack.
Create reference implementations, example applications, SDK examples, retrieval pipelines, agent workflows, demos, and technical templates.
Collaborate with partner engineering and product teams on integration design, technical tradeoffs, launch plans, and adoption goals.
Support technical partner conversations from early exploration through integration launch, developer adoption, and ongoing iteration.
Identify opportunities for Tavily to become embedded in partner products, frameworks, docs, templates, and developer workflows.
Translate ecosystem patterns and partner feedback into product and roadmap input for Tavily’s Product and Engineering teams.
Partner with Sales, Partnerships, Developer Relations, Product, and Engineering to support strategic launches and joint technical initiatives.
Represent Tavily in partner reviews, technical workshops, developer communities, conferences, livestreams, and technical content.
Help build scalable ecosystem assets, including integration guides, demo environments, playbooks, docs, tutorials, and reusable examples.
We expect you to have:
3+ years of software engineering experience, ideally in a partner-facing, developer-facing, or customer-facing technical role such as Forward Deployed Engineer, Solutions Architect, Developer Advocate, Solutions Engineer, Partner Engineer, or Sales Engineer.
Strong hands-on engineering ability, especially with Python, APIs, SDKs, backend systems, and developer-facing integrations.
Deep interest in the AI ecosystem and strong familiarity with the modern agent stack.
Experience building with LLMs, Retrieval-Augmented Generation, agent architectures, context engineering, and AI application frameworks.
Experience with at least one major agent or LLM orchestration framework, such as LangChain, LlamaIndex, LangGraph, OpenAI Agents SDK, CrewAI, or similar tools.
Strong product intuition and ability to design integrations that are technically sound, easy to use, and valuable for developers.
Excellent written and verbal communication skills across engineering, product, partner, and developer audiences.
Ability to create clear technical content, including documentation, tutorials, example apps, demos, and reference architectures.
High autonomy, strong ownership, and comfort operating in a fast-moving startup environment.
Based in New York City, or willing to relocate.
Bonus Points
Experience working with model providers, agent framework teams, developer platforms, AI infrastructure companies, or major technical partners.
Experience contributing to open-source projects, especially in the LLM, RAG, agent, or developer tools ecosystem.
Experience building or maintaining SDKs, integrations, plugins, templates, or framework adapters.
Experience speaking at developer conferences, hosting workshops, publishing technical content, or building developer communities.
Experience with vector databases such as Pinecone, Weaviate, pgvector, Qdrant, or similar systems.
Track record launching partner integrations or developer-facing technical initiatives that drove meaningful adoption.
Prior experience at a high-growth AI infrastructure, developer tools, or open-source company.
Key employee benefits:
Health insurance: 100% company-paid medical, dental and vision coverage for employees and families
401(k) plan: Up to 4% company match with immediate vesting
Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers
Remote work reimbursement: Up to $85/month for mobile and internet
Disability & life insurance: Company-paid short-term, long-term and life insurance coverage
Compensation
We offer competitive compensation packages. The actual compensation offered within the listed range will be determined based on job-related factors, including experience, skills, qualifications, and the level at which the candidate is hired, consistent with applicable law.
#LI-BH3
Pay Transparency
We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.
Base Compensation Range
$112,700
—
$183,900 USD
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Remote - United States
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit
www.redditinc.com
.
Who We Are:
The Machine Learning Platform team at Reddit is a high-impact team that owns the infrastructure that powers recommendations, content discovery, user and content quantification, while directly impacting other teams such as Growth, Ads, Feeds, and Core Machine Learning teams.
What You’ll Do:
As a
Senior Staff
Software Engineer,
you will help define and lead the vision for Reddit’s large-scale GenAI Platform, shaping the strategy, architecture, and operating model that enable teams across the company to build, deploy, and scale generative AI products with confidence.
Contribute to the design, implementation, and maintenance of the LLM Gateway, focusing on features like unified API endpoints for internal/externally hosted LLM, rate/token limit management, and intelligent failover mechanisms to boost uptime and reliability.
Lead and execute the vision, strategy, and roadmap for Reddit’s large-scale GenAI Platform.
Define the platform architecture and operating model that enable teams to build, deploy, and scale GenAI products reliably.
Drive the strategy for a unified LAG Gateway supporting internally and externally hosted LLMs through consistent APIs and abstractions.
Set the direction for core platform capabilities such as rate and token limit management, intelligent failover, and production resilience.
Shape Reddit’s approach to an enterprise-grade RAG system
Establish the strategic direction for agentic AI workflows and tool-use patterns across the platform.
Own the end-to-end platform strategy from concept through production adoption and long-term evolution.
Drive MLOps and LLMOps standards across CI/CD, testing, versioning, evaluation, and lifecycle management.
Define best practices for observability, monitoring, governance, and operational excellence across GenAI systems.
Partner across engineering, product, and leadership to align platform investments with company priorities and user needs.
Champion platform thinking with a strong focus on scalability, reliability, performance, and developer experience.
Influence technical direction across teams by turning emerging AI capabilities into a scalable platform strategy.
Who You Might Be:
10+ years of experience in ML Engineering, AI Platform Engineering, or Cloud AI Deployment roles.
Have a track record of leading technical strategy and delivering AI platforms in cloud-based production environments at scale.
Demonstrate strong execution by turning strategy into action, driving complex initiatives end to end, and consistently delivering high-quality platform outcomes.
Bring deep experience operating Kubernetes and other orchestration systems in large-scale production environments.
Deep experience with cloud-based technologies for supporting an ML platform, including tools like AWS, Google Cloud Storage, infrastructure-as-code (Terraform), and more
Proficiency with the common programming languages and frameworks of ML, such as Go, Python, etc.
Excellent communication skills with the ability to articulate technical AI concepts to non-technical stakeholders
Strong focus on scalability, reliability, performance, and developer experience. You are an undying advocate for platform users and have a deep intuition for the genAI product development lifecycle.
Strong knowledge of model serving, inference pipelines, monitoring, and observability for AI systems is a plus
Benefits:
Comprehensive Healthcare Benefits and Income Replacement Programs
401k with Employer Match
Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Flexible Vacation & Paid Volunteer Time Off
Generous Paid Parental Leave
Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit
https://www.redditinc.com/careers/
.
To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
The base salary range for this position is:
$292,500
—
$409,500 USD
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our
Candidate Privacy Policy for Potential Employees and Contractors
.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Location: Hong Kong, Hong Kong SAR
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
About the Opportunity
We are seeking a VP of AI Strategy & Transformation — a hands-on technical leader who combines deep AI expertise with the strategic vision and executive influence to drive AI adoption across every business unit. This is not a research role or a traditional engineering management position. We need someone who has personally built and shipped production AI systems, understands the frontier of foundation models and agentic AI, and can translate that expertise into company-wide transformation.
The ideal candidate is, first and foremost, a deeply technical AI practitioner — someone who has architected and deployed AI systems at scale, and who can channel that credibility into driving AI adoption across every function of the organization. Not a theorist, not a people-manager-only — a builder-leader who ships and who makes others ship.
What You’ll Be Doing
1. Company AI Strategy & Transformation
Own the company’s AI roadmap end-to-end — from foundation model selection to business-unit-specific deployment plans:
Define and continuously refine the enterprise AI strategy, aligning it to revenue goals, product differentiation, and operational efficiency targets.
Conduct rigorous build-vs-buy-vs-partner analysis for foundation models, AI tooling, inference infrastructure, and data platforms.
Establish an AI governance framework covering model risk, data privacy, bias mitigation, and regulatory compliance across jurisdictions.
Serve as the primary AI advisor to the CEO and executive leadership team; translate frontier AI developments into actionable business implications.
Build and maintain a rolling 6/12/24-month AI transformation roadmap with clear milestones, investment thresholds, and go/no-go decision points.
Identify and evaluate strategic AI acquisition, investment, and partnership opportunities.
2. System Building & Technical Execution
Architect and deliver production-grade AI systems that create measurable business impact — not just prototypes:
Lead the architecture of LLM-powered applications including RAG systems, agentic workflows, fine-tuning pipelines, and prompt engineering frameworks at enterprise scale.
Design and implement AI-native infrastructure: model serving, automated evaluation, A/B testing frameworks, version control for prompts and models, and continuous monitoring for quality and drift.
Build and optimize AI agent systems, multi-model orchestration, tool-use chains, and autonomous workflow engines that solve real business problems end-to-end.
Build robust evaluation and benchmarking systems for AI outputs — measuring hallucination rates, task completion accuracy, latency, safety, and end-user satisfaction.
Personally prototype and review critical AI system designs; maintain hands-on technical credibility with the engineering team.
3. Organizational AI Enablement & Adoption
Drive AI adoption across every business unit — making AI a core competency for the entire organization, not just the engineering team:
Design and execute a company-wide AI literacy program segmented by role: executive leadership, product managers, engineers, operations, customer-facing teams, and support functions.
Create internal AI tooling, templates, and playbooks that make it radically easy for every business unit to leverage AI capabilities (prompt libraries, no-code/low-code AI interfaces, internal copilots, AI-assisted workflows).
Establish an AI Center of Excellence that serves as the hub for best practices, reusable components, and cross-functional AI project incubation.
Implement a structured AI use-case intake and prioritization process: partner with each business unit to identify high-ROI AI opportunities, scope them properly, and execute with embedded AI support.
Build an AI talent strategy: define hiring profiles for AI engineers and applied AI roles, design technical interview processes, and develop retention programs for top AI talent.
Foster a culture of responsible AI experimentation: psychological safety to try and fail fast, coupled with rigorous post-mortems and knowledge sharing across BUs.
What We Look For In You
10+ years in AI / deep learning, with at least 5 years in a senior leadership role (Director+ or equivalent at a top-tier tech company, high-growth startup, or leading AI lab).
Demonstrated track record of shipping production AI systems that directly impacted business outcomes at scale (revenue, engagement, efficiency).
Deep expertise across the modern AI stack: large language models, transformer architectures, RAG, fine-tuning, RLHF/DPO, prompt engineering, and agentic AI frameworks.
Strong publication record, open-source contributions, or recognized thought leadership in the AI community (conference talks, technical blog posts, courses, or widely-adopted tools).
Exceptional communication skills: ability to present complex technical concepts to board-level audiences and translate business needs into technical specifications.
Advanced degree (MS or PhD) in Computer Science, Artificial Intelligence, Statistics, or a related quantitative field.
Nice to Haves
Experience in fintech, crypto/blockchain, or regulated industries with complex compliance requirements.
Hands-on experience building AI-native products in consumer-facing, high-throughput environments (millions of daily active users).
Track record of driving company-wide AI adoption initiatives — not just team-level, but organization-wide cultural and process transformation.
Experience building or contributing to open-source AI tools, frameworks, or educational content adopted by the broader community.
Familiarity with AI regulatory landscapes across multiple jurisdictions (US, EU AI Act, APAC frameworks).
Published author or recognized educator in AI (books, widely-read technical blogs, MOOCs, or workshops).
Perks &
Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
OKX Statement:
OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status.
#LI-VW1 #ONSITE
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Singapore, Singapore
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
About the Opportunity
We are seeking a VP of AI Strategy & Transformation — a hands-on technical leader who combines deep AI expertise with the strategic vision and executive influence to drive AI adoption across every business unit. This is not a research role or a traditional engineering management position. We need someone who has personally built and shipped production AI systems, understands the frontier of foundation models and agentic AI, and can translate that expertise into company-wide transformation.
The ideal candidate is, first and foremost, a deeply technical AI practitioner — someone who has architected and deployed AI systems at scale, and who can channel that credibility into driving AI adoption across every function of the organization. Not a theorist, not a people-manager-only — a builder-leader who ships and who makes others ship.
What You’ll Be Doing
1. Company AI Strategy & Transformation
Own the company’s AI roadmap end-to-end — from foundation model selection to business-unit-specific deployment plans:
Define and continuously refine the enterprise AI strategy, aligning it to revenue goals, product differentiation, and operational efficiency targets.
Conduct rigorous build-vs-buy-vs-partner analysis for foundation models, AI tooling, inference infrastructure, and data platforms.
Establish an AI governance framework covering model risk, data privacy, bias mitigation, and regulatory compliance across jurisdictions.
Serve as the primary AI advisor to the CEO and executive leadership team; translate frontier AI developments into actionable business implications.
Build and maintain a rolling 6/12/24-month AI transformation roadmap with clear milestones, investment thresholds, and go/no-go decision points.
Identify and evaluate strategic AI acquisition, investment, and partnership opportunities.
2. System Building & Technical Execution
Architect and deliver production-grade AI systems that create measurable business impact — not just prototypes:
Lead the architecture of LLM-powered applications including RAG systems, agentic workflows, fine-tuning pipelines, and prompt engineering frameworks at enterprise scale.
Design and implement AI-native infrastructure: model serving, automated evaluation, A/B testing frameworks, version control for prompts and models, and continuous monitoring for quality and drift.
Build and optimize AI agent systems, multi-model orchestration, tool-use chains, and autonomous workflow engines that solve real business problems end-to-end.
Build robust evaluation and benchmarking systems for AI outputs — measuring hallucination rates, task completion accuracy, latency, safety, and end-user satisfaction.
Personally prototype and review critical AI system designs; maintain hands-on technical credibility with the engineering team.
3. Organizational AI Enablement & Adoption
Drive AI adoption across every business unit — making AI a core competency for the entire organization, not just the engineering team:
Design and execute a company-wide AI literacy program segmented by role: executive leadership, product managers, engineers, operations, customer-facing teams, and support functions.
Create internal AI tooling, templates, and playbooks that make it radically easy for every business unit to leverage AI capabilities (prompt libraries, no-code/low-code AI interfaces, internal copilots, AI-assisted workflows).
Establish an AI Center of Excellence that serves as the hub for best practices, reusable components, and cross-functional AI project incubation.
Implement a structured AI use-case intake and prioritization process: partner with each business unit to identify high-ROI AI opportunities, scope them properly, and execute with embedded AI support.
Build an AI talent strategy: define hiring profiles for AI engineers and applied AI roles, design technical interview processes, and develop retention programs for top AI talent.
Foster a culture of responsible AI experimentation: psychological safety to try and fail fast, coupled with rigorous post-mortems and knowledge sharing across BUs.
What We Look For In You
10+ years in AI / deep learning, with at least 5 years in a senior leadership role (Director+ or equivalent at a top-tier tech company, high-growth startup, or leading AI lab).
Demonstrated track record of shipping production AI systems that directly impacted business outcomes at scale (revenue, engagement, efficiency).
Deep expertise across the modern AI stack: large language models, transformer architectures, RAG, fine-tuning, RLHF/DPO, prompt engineering, and agentic AI frameworks.
Strong publication record, open-source contributions, or recognized thought leadership in the AI community (conference talks, technical blog posts, courses, or widely-adopted tools).
Exceptional communication skills: ability to present complex technical concepts to board-level audiences and translate business needs into technical specifications.
Advanced degree (MS or PhD) in Computer Science, Artificial Intelligence, Statistics, or a related quantitative field.
Nice to Haves
Experience in fintech, crypto/blockchain, or regulated industries with complex compliance requirements.
Hands-on experience building AI-native products in consumer-facing, high-throughput environments (millions of daily active users).
Track record of driving company-wide AI adoption initiatives — not just team-level, but organization-wide cultural and process transformation.
Experience building or contributing to open-source AI tools, frameworks, or educational content adopted by the broader community.
Familiarity with AI regulatory landscapes across multiple jurisdictions (US, EU AI Act, APAC frameworks).
Published author or recognized educator in AI (books, widely-read technical blogs, MOOCs, or workshops).
Perks &
Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
OKX Statement:
OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status.
#LI-VW1 #ONSITE
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Remote, United Kingdom
We are open to hiring at multiple levels for this role, depending on experience, impact, and demonstrated ownership. While this role is level-agnostic, it is best suited for engineers with experience owning production systems and working in highly ambiguous problem spaces.
Software Engineer
About the company:
In the coming decades, demand for critical minerals such as copper, lithium, and cobalt will continue to grow. These minerals are needed to build electric infrastructure, vehicles, data centers, and electronics. However, the mining industry is making 10x fewer discoveries per dollar spent on exploration compared to 30 years ago because the easy-to-find, near surface deposits have largely been discovered.
KoBold was founded to be the first AI native mineral exploration, mine development, and technology development company. Our goal is to turn mineral exploration into a repeatable science to discover the minerals the world needs—by integrating artificial intelligence, human intelligence, and new technology. Our multidisciplinary teams of data scientists, engineers, and geologists work together to build data systems, design new sensors, and establish industry-leading workflows to develop and test subsurface predictions on our exploration projects.
Our first discovery, Mingomba, is a high-grade copper deposit in Zambia, found after spending materially less than industry average. We are developing Mingomba with the same technical rigor that we apply to exploration. The Mingomba team brings together mine and processing engineers, geologists, data scientists, software engineers, and community, health & safety, construction, and operations specialists. By combining industry knowledge and cutting edge technology, we are developing Mingomba into a world class project that has safer and more predictable outcomes for ourselves, partners, and communities. It is expected to create thousands of good jobs for generations.
KoBold runs exploration programs in eight countries, all with the potential for another discovery.
KoBold is privately held; investors include institutional asset managers T. Rowe Price and Canada Pension Plan Investments; technology venture capitalists Andreessen Horowitz, Breakthrough Energy Ventures, BOND Capital, Durable Capital, StepStone, and Standard Investments; and strategic natural resources companies BHP and Mitsubishi.
We are hiring Software Engineers to accelerate our mission.
About The Role:
At KoBold, software engineers have the unique opportunity to embed directly with their users and learn the ins and outs of mineral exploration and geology while developing state of the art technology solutions. Unlike traditional software engineering roles, we don’t simply ship code and passively wait for feedback about its utility: our userbase includes our colleagues… and ourselves! While there are real technical challenges in making mineral exploration data broadly searchable and accessible to both humans and machines, we believe that solving these technical challenges cannot be done without “getting our hands dirty” – sometimes literally! – by embedding directly with the exploration teams and even occasionally (~once a year) joining our colleagues in the field, be it in Zambia, Canada, or Arizona, to experience the impact of our software in real time.
As a Software Engineer on the Data Systems Engineering team at KoBold, your main role will be to enable systematic exploration and materially improve exploration success rates by making mineral exploration data broadly accessible to humans and machines. Past projects have included SIP (the Structured Ingest Pipeline), DataKit generation (producing curated sets of data on demand), and RAG (Retrieval Augmentation Generation, utilizing natural language processing on unstructured data). Our tech stack is primarily python and includes Django, React, AWS, and additional technologies like Retool and Prefect.
Your work will empower KoBold to unlock invaluable insights and streamline intricate scientific processes. Collaborating with our exceptional team of data scientists, geologists, and other software engineers, you will have the opportunity to tackle complex problems head-on and collectively pave the way for the discoveries of vital energy transition metals like lithium, copper, nickel, and cobalt. Together we can shape the future of mineral exploration and contribute to building a sustainable world.
This role be responsible for:
Deep engagement with exploration geologists and data scientists, continual learning about mineral exploration, and tailoring technology development to the needs of exploration project scientists
Building data pipelines and tooling for deriving advanced human and machine insights from exploration data, often leading a small group of software engineers to successful delivery
Developing expertise in KoBold’s Data Systems and deeply understanding how they impact exploration
End-to-end ownership of projects from design to implementation and testing to continued engagement with colleagues on exploration teams using your solutions
Responding well to design and code feedback, also providing feedback to teammates
Operationally managing the team’s services and assisting scientific colleagues with our tooling
Qualifications
4+ years of software engineering experience, ideally building production cloud data systems
Proficiency with Python
Ability to write production-quality code that is correct, readable, well-tested, scalable and extensible
Skilled in large-scale system design
A track record of taking ownership from definition of the problem and delivering projects with demonstrated impact in an iterative manner
Intellectual curiosity and eagerness to learn about all aspects of mineral exploration, particularly in the geology domain. Enjoys constantly learning such that you are driving insights through using our tools in exploration and willing to work directly with geologists in the field.
Ability to explain technical problems to and collaborate on solutions with domain experts who are not software developers. A strong communicator who enjoys working with colleagues across the company.
Excitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on an evolving range of responsibilities.
Keen not just to build cool technology, but to figure out what technical product to build to best achieve the business objectives of the company.
Nice to Haves
Experience with modern frontend frameworks such as React
Experience with geospatial data and building map-based experiences
Familiarity with containerization and container orchestration platforms, such as Docker, AWS ECS, Kubernetes, etc.
Formal education or job exposure to natural sciences
The UK base salary range for this full-time exempt position is $120,000 - $210,000 USD.
Location: Remote, Candidates can be located anywhere in the United Kingdom.
What to Expect
Joining KoBold means getting the opportunity for hands-on exposure to our exploration projects around the world. All employees are expected to travel to project sites, with a minimum of one week per year. Field-facing and technical roles spend significantly more time in the field.
Compensation ranges are listed in USD. If you are based outside the US, the range may not translate directly: US pay reflects a different market with different competitive dynamics, so we benchmark roles against the local market rather than converting the listed figure.
seniorSingapore, Singapore
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