Вакансии

Location: Chicago, NYC, Dallas Who We Are: Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. Galaxy also develops and operates data center infrastructure to power AI and HPC workloads. Anchored by its Helios campus in Texas, Galaxy is building a multi-gigawatt pipeline of more than 5.7 GW of potential capacity, positioning it among the largest and fastest-growing data center developers in North America. The Company is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia. Additional information about Galaxy's businesses and products is available on www.galaxy.com . What We Value: We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be. Seek Excellence. Be Selective To Be Effective. Be Highly Aligned, Loosely Coupled. Disagree Transparently. Encourage Independent Decision-Making. Build Dream Teams. Who You Are A collaborative and strategic leader with deep hands-on experience in Site Reliability Engineering (SRE) and infrastructure Automation on our Data Center team. You are comfortable steering the vision for an enterprise automation roadmap while remaining technical enough to dive into the code. You treat infrastructure as a product, ensuring that your automation workflows are as reliable as the services they deploy. You have a proven track record of managing complex hybrid environments and are proactive in building self-service platforms that enhance engineering velocity and system stability. Responsibilities Automation Platform Leadership : Oversee a specialized SRE team focused on the design, deployment, and maintenance of automation toolsets as well as the systems they interact with. Infrastructure as Code (IaC) Governance : Establish and enforce standards for IaC to ensure consistent, repeatable, and secure deployments across an entire infrastructure ecosystem. Strong proficiency in Terraform is required. Configuration Management : Lead the strategy for automated configuration and state management, ensuring Ansible playbooks and Packer image pipelines are optimized for both Windows, Linux, and ESXi Platforms. Monitoring & Observability : Manage the monitoring and health of the automation platforms themselves. Implement SLIs/SLOs to ensure the "tools that build the servers" are highly available and performant. Lifecycle Management : Drive the automated lifecycle of both physical and virtual assets, from initial template creation/deployment to automated patching, scaling, and decommissioning. Custom Tooling & Scripting : Lead the development of custom scripts and internal providers (Python, Go, PowerShell, Bash) to provide better insights and tooling for our systems. Collaboration: Outside of the automation team you will need to be able to collaborate and foster workflows alongside the rest of the Datacenter team and be able to facilitate needs for the team as a whole. Capacity & Performance : Analyze system behavior and resource utilization in virtual environments to optimize the performance of automated deployments. Mentorship & Growth : Provide technical guidance and career mentorship to SREs, fostering a culture of "automate-first" and continuous improvement. Requirements 6-10 years’ experience in Infrastructure, SRE or DevOps, specifically focused on infrastructure automation at scale. Deep proficiency with Terraform (providers, modules, state management) and Ansible (roles, playbooks, Tower/AWX). Hands-on experience with Image Creation (i.e. Packer, Ansible, SCCM) to build standardized, hardened images for both Windows and Linux in hybrid environments. Strong experience managing and automating virtual platforms such as VMware (vSphere/vCenter) as well as Cloud providers such as Azure and AWS. High-level scripting skills in mediums such as Python, Go, PowerShell, and Bash. Experience with observability tools (Splunk, ELK, Prometheus, or Grafana) to monitor infrastructure health and automation telemetry. Good understanding of Network topology and design as well as experience with platforms such as Juniper Networks or Palo Alto. Strong mastery of Git (branching strategies, PR workflows) and CI/CD platforms (Jenkins, GitLab CI, or GitHub Actions). Equal comfort managing, troubleshooting, and tuning performance for both Windows Server and Linux. Nice to Have Previous work experience includes notable periods of team leadership and or management. Experience with IAM platforms such as Entra ID, Active Directory, and Okta. Experience with Storage solutions both block based and object based hosted either on-prem (HP Alletra, EMC, DDN) or in cloud (S3, Azure Blob). Storage Backup/DR administration and management with Commvault or Veeam. What We Offer: Competitive base salary and discretionary bonus Flexible Time Off (i.e. unlimited paid vacation days) Company paid Holidays (14) Company paid sick leave Company-paid health and protective benefits for employees, partners, and other dependents 3% 401(k) company contribution Generous paid Parental Leave Free virtual coaching and counseling sessions through Ginger Free daily snacks in-office Smart, entrepreneurial, and fun colleagues Employee Resource Groups *Benefits may vary depending on location. Apply now and join us as we grow the economy that runs on code. Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances. We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact careers@galaxy.com.

OpenAI is looking for Data Engineers to build data pipelines and core datasets for analytics, safety systems, and product growth.

Location: Hamburg Workplace: Hybrid TECH DIRECTOR - MOBILE (F/M/D) JOB DESCRIPTION adjoe https://adjoe.io/ is a leading mobile ad platform developing cutting-edge advertising and monetization solutions to meet the diverse needs of app publishers. Being part of the applike group https://applike-group.com/ ecosystem plus the significant financial backing from Bertelsmann empowers us to do this. At adjoe, we are proud of our advanced tech stack https://adjoe.io/techstack/ and dynamic and innovative workforce. MEET YOUR TEAM: REWARDED SOLUTIONS - MOBILE INTEGRATIONS The Mobile Integrations Team is part of our Rewarded Solutions Department which develops the technology behind adjoe's innovative rewarded engagement products that serve over 57 million daily mobile users.   Mobile Integrations is responsible for the native Android and iOS SDKs written in Java/Kotlin, Swift, and Unity that handle much of the complex engagement flows. On top of the SDKs are widely customizable web applications built with React TypeScript; and a highly performant Golang backend hosted on AWS that processes millions of events hourly. Our system matches each game with its ideal users, delivering rewards optimized for satisfaction through data processed via Kafka, Spark, S3, Trino, and MySQL.   For team members, this means having state-of-the-art resources to build engaging rewarded ad experiences that seamlessly integrate into the world’s top apps while delivering exceptional results for advertisers and monetizers in this industry-leading technology. WHAT YOU WILL DO:   - Lead & Scale: Take ownership of the Mobile Integrations team from day one, setting the benchmark for engineering excellence across our mobile SDKs before scaling your scope to lead up to 3 cross-functional mobile engineering teams, guiding line managers and tech leads along the way. - Architect & Innovate: Drive the holistic mobile architecture, technological direction, and platform scalability, ensuring our SDKs remain robust, performant, and future-proof across millions of daily active devices. - Partner Strategically: Collaborate closely with the VP of Engineering, Product leadership, and executive stakeholders to translate high-level business goals into a concrete, high-impact mobile platform roadmap. - Foster Engineering Culture: Champion engineering best practices, sustainable code reviews, and architectural alignment across teams while collaborating with tech leads company-wide to push technical standards forward. - Build & Mentor: Play a defining role in recruitment and organizational growth; mentoring senior engineers and managers, fostering a high-performance culture, and helping every engineer reach their full potential.   WHO YOU ARE: - An experienced engineering leader with 8+ years of professional experience in software development and technical management. - Extensive experience as a Team Lead, Engineering Manager or Tech Director, ideally with a track record or strong readiness for managing large mobile engineering teams. - Deep background in mobile ecosystems (iOS/Android, SDK development) with high architectural standards across scaling systems. - Proven track record of mentoring tech leads and senior engineers, driving engineering strategy, and organizational scale. - Someone who enjoys translating business requirements into pragmatic technical solutions and can also efficiently communicate technical solutions to business stakeholders. - Able to balance developer experience, security, and performance when designing interfaces and systems. - A strong communicator who can adapt their level of detail when talking to engineers, product, and business stakeholders. - Fluent in English. What’s in It for You? At adjoe, you’re not here to just close JIRA tickets, you’re helping build the infrastructure behind one of the most impactful platforms in adtech. The systems you work on will reach hundreds of millions of users and power billions of decisions every day. - Go Big. Own projects with impact on over 770M users and push adtech boundaries. - Move Fast. Ship solutions multiple times a day, learn from results, and keep momentum. - Be Direct. Solve problems openly and collaborate across teams. - Thrive Together. Grow with a diverse, global team of people from over 40 different countries that learn from each other. - Have Fun. Celebrate wins, enjoy daily victories, and bring your energy. We welcome applications from people who will contribute to the diversity of our company. We welcome applications from people who will contribute to the diversity of our company.

• Опыт интеграции внешних источников (БКИ, ФНС, ЦБ, API-партнёров). • Практическое знание SQL.

Location: Москва **GigaChat увидит мир через данные, которые соберёте вы.** За GigaChat стоит одна из крупнейших ML-команд в России, которая обучает LLM и VLM полным циклом — от претрейна до релиза. Наша команда отвечает за то, с чего начинается любая сильная модель, — за данные: мы собираем визуальный корпус претрейна — ищем источники, фильтруем и дедуплицируем сырьё, ставим эксперименты и меряем влияние на бенчмарки. Именно состав и качество претрейн-данных определяют, каким получится финальный результат, и у вас будет возможность влиять на него напрямую. Обязанности * ставить эксперименты: формулировать гипотезы, какие данные и в каких пропорциях улучшат модель, и проверять их: продумывать сетап и бейзлайны, запускать обучающие прогоны, по замерам решать, что попадёт в финальную смесь * автоматизировать подготовку данных: выстраивать очистку, дедупликацию и валидацию так, чтобы любой новый датасет без ручной доводки приходил в готовый к обучению вид * добывать редкие и дефицитные домены: обучать классификаторы и кластеризаторы, которые вылавливают ценные сэмплы из сырых данных, и нарезать корпус на чистые датасеты по таксономиям * собирать данные разных форматов: генерация VQA, синтетические задачи, interleaved-данные — каждый формат устроен по-своему и требует своего подхода * обрабатывать миллиарды изображений: писать распределённый код, который прогоняет пайплайны на всём корпусе быстро и стабильно * находить слабые места в данных: разбираться, где модель проседает из-за корпуса — чего не хватает, что зашумлено или разбалансировано, — и исправлять это * развивать контур оценки: подключать свежие бенчмарки, следить за чистотой методики и не пускать тестовые данные в обучающий корпус Требования **Кто нам подходит:** Человек, который сможет провести данные от поиска источников до состава финальной смеси. Главное — умение ставить эксперименты и делать из них честные выводы. Опыт именно с VLM или LLM не обязателен: специфика осваивается быстрее, чем культура эксперимента **Что мы хотели бы видеть:** * хорошая база ML, твёрдое знание CV и NLP * понимание, как данные влияют на качество модели, и привычка при странностях в метриках первым делом смотреть в данные * уверенный Python и опыт обучения моделей на PyTorch * умение спланировать эксперимент и довести его до вывода, которому можно верить * самостоятельность и проактивность: берёте тему, разбираетесь, доводите до результата **Плюсом будут:** * опыт построения дата-пайплайнов и процессов контроля качества данных * опыт с распределённой обработкой (Spark, Dask, Airflow, YTsaurus) * опыт проведения ML-экспериментов на больших объёмах * публикации на профильных конференциях. Мы открыты к кандидатам разного уровня, и попадать во все пункты не обязательно. Если задачи откликаются — напишите нам, остальное обсудим. Условия **Что мы предлагаем:** * опыт претрейна из первых рук. Команд, обучающих VLM полным циклом, в стране единицы — вы пройдёте весь путь от сырых данных до готовой модели * вычислительные ресурсы под ваши эксперименты. Один из самых больших GPU-кластеров в России: проверка гипотезы о данных стоит обучающего прогона, и на такие прогоны вычислений у нас хватает * инфраструктура, которая уже работает. S3, YTsaurus, Airflow, DataLens, GitLab CI, wandb — всё для данных и экспериментов на месте, время уходит на исследования, а не на обвязку * задачи, на которые ещё нет ответа. Как собрать лучшие визуальные данные для претрейна, пока не знает почти никто в мире — разбираться предстоит в том числе вам * короткий путь от гипотезы до модели. Данные, которые вы отберёте, и гипотезы, которые подтвердятся, уходят в обучение следующей модели — а ей пользуются миллионы людей * комфортный современный офис рядом с м. Кутузовская * возможность выбрать удобный график – офис/гибрид/удаленка (в РФ) * годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * ипотека для сотрудников по дисконтной прогамме * бесплатная подписка СберПрайм+, скидки на продукты компаний-партнеров * вознаграждение за рекомендацию друзей в команду Сбера.

Ищем системного аналитика для развития хранилища данных и аналитической отчётности HR в Магните. Нужен специалист, который самостоятельно исследует источники и существующие расчёты, проектирует модели и витрины данных, готовит постановки разработчикам и сопровождает задачи до приёмки.

Мы ищем системного аналитика, который будет работать на всех этапах жизненного цикла продукта: от сбора и валидации требований до приёмочного тестирования и сопровождения внедрённых решений. • Взаимодействовать с пользователями, заказчиками и другими стейкхолдерами: выявлять потребности и собирать обратную связь.

Мы ищем специалиста, который будет работать на стыке backend-разработки, распределённого хранения Git и миграции данных между платформами. Основной профиль: CI/CD и интеграции (фокус на new-cicd, очереди, внешние системы).

Чем предстоит заниматься. Основные функции и обязанности:

Задачи: — проектирование и реализация RESTful API на Python-фреймворках FastAPI, Django, Tornado — разработка и поддержка пайплайнов данных и бэкенд-сервисов — проектирование и оптимизация схем баз данных в реляционных, NoSQL и облачных хранилищах Snowflake, Postgres, S3, MongoDB — участие в системном дизайне и архитектурных решениях по масштабируемости, надёжности и безопасности — работа с продакшен-системами через инструменты наблюдаемости — тесная коллаборация с количественными исследователями, фронтенд-инженерами и бизнес-заказчиками Требования: — опыт бэкенд-разработки от 7 лет — сильное владение Python как основным языком команды — уверенный практический опыт с Postgres, Snowflake, MongoDB и S3 — хорошее понимание моделирования данных (ER-дизайн) и принципов проектирования систем — опыт создания и вывода в продакшен REST API — интерес к AI-ассистированной разработке и современным инструментам Будет плюсом: — опыт с NumPy, Pandas и другими аналитическими библиотеками — облачная разработка (AWS или аналоги) — асинхронная обработка и распределённые системы — работа с финансовыми или аналитическими датасетами — знание финансовой предметной области Условия: — удалённая работа доступна при проживании в Грузии, Сербии, Испании или Польше — полная занятость

-Выстраивать микросервисную архитектуру, участвовать в принятии архитектурных решений по проекту. -Работать с очередью сообщений Kafka и придерживаться event driven архитектуры.

Развертывать и поддерживать Kubernetes-кластеры для data copilot и сервисов поиска (Airflow, Kafka, PostgreSQL); Автоматизировать CI/CD-пайплайны (GitLab CI, ArgoCD, Helm) для быстрого релиза обновлений data-сервисов;

Location: Ukraine; Spain; Serbia; Yerevan; Poland Workplace: remote Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide. Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture. Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits You will work in a senior pod alongside an FDE, an FDX, and Senior AI Engineers — contributing to real delivery work while building toward independent ownership. Requirements: Mindset Proactive and self-directed; you push for clarity rather than waiting for a ticket. Excellent communication and problem-solving skills. Comfortable with some ambiguity, with support from senior team members as you take on more. B2+ English, comfortable collaborating across distributed, multicultural teams. Technical depth Hands-on experience building or contributing to RAG systems, ideally in a production or near-production setting. Solid engineering fundamentals; Python and/or TypeScript proficiency. Productive in an unfamiliar codebase with some ramp-up support. Practical AWS experience (Lambda, S3, ECS, or similar); ready to grow into Bedrock and Bedrock AgentCore . Some experience with containers and CI/CD in real projects. Exposure to evaluating non-deterministic systems — you've contributed to or run test/eval cycles, even if you haven't owned a full eval suite end-to-end. Basic working knowledge of model/agent monitoring concepts. Awareness of cost and latency trade-offs when working with LLMs. Some hands-on exposure to the Claude ecosystem (Claude Code, CLAUDE.md, hooks, skills files) is a plus, or strong ability to ramp up quickly. Practical experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) in real projects. 2+ years of software or ML engineering experience, including some exposure to production systems. Solid AI/ML foundations — you understand what the models do well enough to reason about common failure modes. Nice to Have: Experience in one of the industries: financial services, insurance, healthcare. Consulting, professional services, or other embedded customer-facing delivery. AWS and Claude Code Certifications (or actively pursuing them). A2A: Interest in agent-to-agent interoperability concepts. CI/CD pipeline experience (GitHub Actions, GitLab CI). Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines. Experience in an additional language (Go, TypeScript, or Rust). Experience with Apache Spark, Apache Airflow, Kafkа. Experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build. MCP: you can say why an agent would prefer it to a REST integration, having authored a server is an additional  plus. Responsibilities: Build and contribute to RAG system components under senior guidance, with growing autonomy. Write tests and help build out evaluation harnesses for the features you work on. Write production code across the stack (AI, backend services, data pipelines) with code review support. Help integrate AI components into backend services and RESTful APIs. Support deployment of systems to AWS (containerized, CI/CD), taking on more of this independently over time. Contribute to documentation, runbooks, and client handover materials. Participate in technical discussions and architectural decisions, with an eye toward taking on more of this independently. Support model evaluation efforts and help investigate and improve failure modes. Take on increasing ownership of components and technical decisions as you grow in the role. What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside FDE and FDX A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire: Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant HR Interview. Soft skills and expectations HM interview. Tech questions; a live engineering session is also possible

Job description: Implement and run AWS services (S3, Lambda, IAM, ECS, EC2, RDS, networking), containerize applications with Docker, automate deployments with Terraform, and build monitoring for production systems.

Location: United States (Remote) Workplace: Remote ROLE SUMMARY We're looking for a senior software engineer to join a high-impact team building the systems that power Temporal Cloud's customer experience at scale. Our team owns some of the most critical surface area in the product — Namespaces https://docs.temporal.io/cloud/namespaces, Audit Logs https://docs.temporal.io/cloud/audit-logs, and Export https://docs.temporal.io/cloud/export. Namespaces are the core unit of isolation within Temporal Cloud, providing security boundaries, workflow management, unique identifiers, and dedicated gRPC endpoints. Audit Logs and Export give customers reliable access to the operational and compliance data they depend on. In this role, you'll work on a new initiative, set technical direction and build systems that directly shape how customers provision, operate, and extract value from Temporal Cloud. You'll partner closely with engineers, product managers, and solutions architects to design resilient architectures, drive cross-functional execution, and raise the bar on reliability and scalability for our most critical features. If you thrive on ambiguous, high-leverage problems and take pride in building durable systems that grow with the business, we'd love to meet you. WHAT YOU’LL DO - Lead the Design of Business-Critical Systems: Own end-to-end technical design and delivery for the services that power namespace scalability, reliability, and the customer data products built on top of them. - Bridge Instrumentation and Product Value: Partner with analytics and product engineers to ensure what gets collected actually powers meaningful customer insights; translate business questions into durable event schemas that outlast the feature that introduced them. - Architect Data Pipelines for Scale and Correctness: Define and evolve our data pipeline architecture for high-throughput usage and operational data; make principled tradeoffs across data freshness, query cost, tenant isolation, and fault-tolerance. - Drive Data Quality as a First-Class Concern: Establish schema contracts, pipeline-level anomaly detection, and alerting for silent failures — holding the line on data correctness before bad numbers reach customers. - Raise the Engineering Bar: Set quality standards through code and design reviews; introduce patterns and tooling that improve maintainability, observability, and incident response across the team. - Mentor and Multiply Impact: Grow the engineers around you, unblock execution, and foster a culture of ownership, learning, and pragmatic excellence. - Improve Developer and Customer Experience: Identify opportunities to streamline customer flows via automation, better tooling, and targeted platform improvements that reduce friction and support load. TECHNOLOGY STACK - Primary Language: Go - Data Storage: PostgreSQL, Redshift, S3, Google Cloud Storage, Azure Blob Storage - Data Warehouse: Snowflake, Databricks, Clickhouse, Big Query - Data Processing: Kinesis, Firehose - Infrastructure: Kubernetes - Core Framework: Temporal (of course 😉) WHAT YOU’LL BRING - Deep experience designing and delivering production-grade backend systems in cloud environments, with direct ownership over architecture and operational outcomes — including what happens when things go wrong. - Strong proficiency in at least one systems or backend language (Go preferred), with the ability to navigate large codebases and drive technical decisions with confidence. - Hands-on experience building and operating distributed systems: concurrency, reliability, scaling, consistency, and failure handling in production. - Solid experience with data pipelines and storage systems (Postgres, Redshift, Kafka/Kinesis, S3-compatible storage, Clickhouse) and a track record of ensuring correctness and traceability at scale. - Experience with production operations: observability, incident response, performance tuning, on-call readiness, and continuous delivery. - Ability to work effectively across functions — translating ambiguous requirements from product managers and solutions architects into clear, executable technical plans. - Strong written and verbal communication: you write crisp design docs, align stakeholders on tradeoffs, and can explain a complex system to someone who didn't build it. - A builder's mindset: you enjoy simplifying complex workflows, improving tooling, and leaving systems better than you found them. WHAT YOU CAN EXPECT - High-impact ownership over systems tied directly to revenue, customer lifecycle, and platform scalability - Collaborative engineering culture focused on quality, pragmatism, and measurable outcomes - Exceptional technical colleagues and a feedback-rich environment - Lean processes and autonomy without unnecessary bureaucracy - Strong emphasis on reliability and operational excellence—balanced with rapid iteration - A team that values mentorship, thoughtful design, and steady improvements that compound over time Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity. Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.

Location: Intellias Meet your recruiter Carmen Beck carmen.beck@intellias.com https://www.linkedin.com... Vacancy details Software Engineering Fullstack AI Product Engineer Middle United States Office APPLY NOW REFER A FRIEND See the impact you make as an Applied AI Software Engineer delivering production‑ready solutions from day one. What project we have for you Our client is seeking an Applied AI Software Engineer to design, build, and deliver internal tools that improve the day-to-day effectiveness of engineering teams across requirements, validation, and UX/UI functions. The engineer will develop production-ready, AI-enabled applications that integrate existing models, LLM APIs, and AI services into practical business workflows. Typical solutions may include tools that generate engineering reports from structured inputs and prompts, or video-analysis workflows that identify activities in uploaded video, capture time-stamped events, and produce concise summaries. This is an execution-focused software engineering role, not an AI/ML research or model-development position. The successful candidate will use technologies such as Python, JavaScript/React, and AWS services to build reliable end-to-end pipelines, user-facing applications, and integrations that meet enterprise quality, security, and usability expectations. Working closely with engineers and cross-functional stakeholders, the candidate will help turn operational needs into maintainable AI-enabled tools and deliver them through established development practices. This is a full-time, fully onsite position in Raymond, Ohio, performed five days per week during standard business hours. What you will do Independently engage with requirements, validation, UX/UI, and other engineering stakeholders to understand current workflows, pain points, process gaps, and opportunities for automation or AI-enabled improvement. Elicit and clarify ambiguous business needs; translate them into practical problem statements, user journeys, functional requirements, acceptance criteria, technical designs, and incremental delivery plans. Assess solution options and independently recommend appropriate architecture, AI services, cloud platforms, frameworks, and implementation approaches based on user value, technical feasibility, security, maintainability, cost, delivery timeline, and the existing engineering environment. Design, develop, test, deploy, and maintain internal AI-enabled software tools that improve engineering productivity and operational workflows. Build end-to-end applications and pipelines that process engineering artifacts and data—including documents, spreadsheets, structured data, images, and video and produce useful outputs such as reports, summaries, classifications, etc. Integrate and orchestrate existing AI capabilities, including LLM APIs, managed AI services, computer-vision tools, and supporting libraries. This role focuses on applying existing models and services rather than training or developing foundational AI/ML models. Develop maintainable backend services, APIs, data-processing logic, and automation primarily in Python; contribute to JavaScript/TypeScript and React-based user interfaces where needed. Create prototypes or proof-of-concepts when useful to validate technical feasibility and user value, then evolve validated concepts into secure, reliable, supportable production solutions. Establish appropriate AI-output evaluation and validation methods, including test cases, structured output controls, error handling, observability, logging, and human review where the workflow requires it. Collaborate closely with cross-functional teams throughout discovery, implementation, testing, rollout, and continuous improvement; communicate scope, decisions, trade-offs, status, risks, dependencies, and technical limitations clearly. Participate in technical design reviews, code reviews, testing, troubleshooting, release activities, and ongoing support; maintain clear technical documentation, user guidance, and required project records. Perform assigned duties independently and in a timely, accurate, and professional manner. Adhere to organizational policies, procedures, security expectations, and applicable quality and safety requirements. What you need for this Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, a related technical field, or equivalent practical experience. Two or more years of professional experience in software engineering, including building, delivering, and maintaining production-quality applications, services, or internal tools. Strong proficiency in Python, including writing clean, maintainable, testable code and debugging software issues. Hands-on experience integrating existing AI capabilities into software solutions, such as LLM APIs, managed AI platforms, computer-vision services, or AI libraries. Experience building backend services, APIs, data-processing workflows, automation, or system integrations. Experience developing and deploying cloud-based applications using AWS, Azure, GCP, or similar platforms. Ability to evaluate technical options and recommend practical tools, frameworks, and architecture approaches based on user needs, security, maintainability, delivery timeline, and existing team capabilities. Ability to work effectively within established architecture, coding standards, version-control practices, and software-development processes with minimal onboarding. Experience collaborating with engineering and non-engineering stakeholders to translate operational needs into practical technical solutions. Strong written and verbal communication skills, including the ability to document technical decisions, communicate trade-offs, and clearly report delivery status, risks, and dependencies. Ability to work full-time, onsite in Raymond, Ohio, five days per week during standard business hours. Preferred Qualifications Experience with AWS services; the current team primarily uses AWS, with services such as S3, Lambda, EC2, Bedrock, IAM, CloudWatch, and API Gateway potentially relevant depending on the solution. Experience with JavaScript or TypeScript and React for internal web applications. Experience applying generative AI to business or engineering workflows. Familiarity with prompt engineering, structured outputs, model evaluation, retrieval-augmented generation (RAG), and validation methods for AI-generated results. Experience working with enterprise engineering artifacts and data sources, such as Excel files, documents, video, databases, or structured and unstructured data. Familiarity with Docker, CI/CD pipelines, automated testing, infrastructure-as-code, application monitoring, and production deployment practices. Familiarity with secure development, identity and access management, data privacy, logging, and responsible-AI practices. Experience working in agile or another structured enterprise software-development environment. What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success. Skills AI AWS Python

- Develop and maintain the API for a customer-facing financial data collection product. - Manage AI agents (Claude Code, Codex): write prompts, review agent output, keep instructions up to date.

Location: Remote, Mumbai India MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV unify every layer of the data stack, from agentic and inference context memory to tables and objects across core, edge, and cloud. Trusted by 77% of the Fortune 100, MinIO is redefining how AI factories, intelligent applications, and autonomous agents secure, persist, and unlock the full value of their data. We are seeking a technical, entrepreneurial Regional Sales Manager to own new and expansion opportunities across commercial and mid-market accounts. You will manage the full sales cycle, from account prioritization and pipeline creation through discovery, technical validation, quantified value, pricing, negotiation, close, and expansion. This is a full-cycle technical selling role, not a high-volume transactional one. You will keep the discipline in discovery, validation, and value that technical buyers expect. What You Will Do Prospect, qualify, and close new business across commercial and mid-market accounts. Build and manage a healthy pipeline using direct outreach and the product, Marketing, BDR, partner, and customer signals available to you. You are accountable for pipeline quality and progression. Lead opportunities from first meeting through technical validation, security and procurement, pricing, negotiation, and close. Communicate MinIO's value to technical and business stakeholders, tying architecture to measurable customer outcomes. Expand and retain assigned customers by identifying new workloads, capacity, use cases, and business units, and hand off cleanly to post-sale teams. Use MEDDPICC or a comparable method, and keep accurate pipeline, forecasts, activity, and next steps in Salesforce. Collaborate with Field Architects, Marketing, Customer Success, Product, and partners to deliver a strong customer experience. Share what you learn in the field to help sharpen MinIO's commercial playbook as we evolve toward a hybrid product-led and sales-driven motion. Your Skills and Experience Three or more years of direct B2B SaaS or infrastructure sales experience with consistent quota achievement. Evidence of sourcing and closing new customers and managing commercial or mid-market sales velocity. Experience leading technical deals in the $50K–$300K+ range. Familiarity with cloud-native technology, data infrastructure, object storage, AI/ML, lakehouse, analytics, HPC, or adjacent platforms. Credibility with VPs of Infrastructure, Engineering leaders, Enterprise Architects, and related technical buyers. A metrics-based approach to pipeline creation, qualification, value selling, forecasting, and negotiation. Experience expanding accounts through cross-sell, upsell, and measurable customer value. Comfort in an early-stage or growth-stage environment and strong cross-functional collaboration. Object-storage, S3, or cloud-native experience. Experience in a hybrid product-led and sales-driven motion. Familiarity with Salesloft, Outreach, or LinkedIn Sales Navigator. MEDDPICC, Force Management, or Challenger training. Partner co-sell experience. Equal Opportunity Policy (EEO) MinIO is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.