Разработка вакансии

Задачи: — Разработка новых функций и продуктов на TypeScript. — Участие в обсуждениях и принятии технических решений. — Участие в планировании и оценке сроков. — Написание unit-тестов с использованием TypeScript и Jest. — Исправление багов, зарегистрированных в Jira. — Хорошее понимание внутренних и сторонних инструментов. — Проактивное улучшение внутренних процессов, инструментов и библиотек. — Участие в процессе релизов и деплоя. — Сотрудничество с младшими разработчиками и помощь в их развитии. — Повышение собственного уровня и развитие навыков. Требования: — Более 6 лет опыта разработки, предпочтительно с TypeScript и Node.js. — Продвинутые навыки фронтенд-разработки с использованием React или аналогичных технологий. — Значительный опыт работы с Git и системами контроля версий. — Глубокое понимание систем сборки JavaScript и пайплайнов разработки. — Практический опыт работы с фреймворками тестирования, такими как Jest или Mocha. — Хорошее понимание Redux и Immer или аналогичных библиотек неизменяемости. — Хорошие знания SSH. Преимущества: — Опыт работы с C++. — Понимание CI/CD пайплайнов. — Хорошее знание Docker и Linux-систем. — Опыт работы с WebSockets и долгоживущими приложениями. — Знакомство с AWS. — Интерес к автоматизации и разработке библиотек. Условия: — ДМС. — Оплачиваемый ежегодный отпуск до 25 дней. — Бесплатное членство в спортивном клубе. — Возможность получения ВНЖ/ПМЖ в Болгарии.

Location: Georgia Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes. Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively. We are seeking a dynamic and motivated Senior AI NodeJS Engineer with a strong focus on developing AI Agents. If you have an understanding of AI technologies and thrive on applying diverse tech stacks to build innovative solutions, we want to hear from you. This role involves not only technical expertise but also collaboration with clients to understand and refine project requirements. WHAT YOU WILL DO - Collaborate with cross-functional teams to design and build AI Agentic solutions. - Contribute to defining technical requirements and implementing features across the software lifecycle - from proof of concept through implementation to evaluation and production. - Take ownership of assigned tasks and deliver high-quality, maintainable code. - Manage backend tasks while contributing to frontend development. - Stay informed about trends and advancements in AI and related fields, continuously learning and integrating new knowledge. - Employ a pragmatic, evaluation-driven approach to adopting innovative AI solutions. EXPERIENCE AND SKILLS YOU NEED TO JOIN US - Experience in full-stack development using mainly NodeJS (with TypeScript). - At least 1 year of experience in AI Engineering role. - Versatile in technology use, comfortable working across backend and frontend tasks. - Track record in staying current with AI and Agentic technologies, including best practices and architecture. - Openness to client collaboration, fostering clear communication and effective partnership. - Strong commitment to learning new technologies and swiftly adapting to new products and APIs. - Understanding of Retrieval-Augmented Generation (RAG) and its applications. - Familiarity with Multi-Agents concept, tools usage and MCP Servers. - Hands-on experience with LLM APIs/SDKs (e.g., OpenAI, Anthropic). - Knowledge of LLM orchestration and frameworks like Langchain or LlamaIndex, with practical implementation experience. - Understanding of prompt design principles and an ability to create effective prompts. - Experience configuring services on cloud platforms (e.g. AWS, Azure, GCP). - Basic experience with CI/CD pipelines and DevOps best practices. - Competence in REST API usage and efficient database integration. - Fluency in English language. IT WOULD BE GREAT IF YOU ALSO HAVE - Basic knowledge of machine learning principles. - Understanding Python source code. - Experience with React. - Experience with model fine-tuning and distillation. - Familiarity with LLM evaluation. - Experience with Model Context Protocol (MCP). - Experience with graph databases. - Familiarity with other programming languages and frameworks. - Familiarity with Voice Agents concepts and related frameworks e.g. Pipecat. When you join Solvd, you'll… - Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation. - Be part of a global team with equal opportunities for collaboration across continents and cultures. - Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards. Ready to make an impact? If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together. Solvd is an equal opportunity employer.

Location: Canada; Serbia Workplace: remote ABOUT YOU We are looking for a Senior Software Engineer (Full-Stack) who is architecturally strong, quality-driven, and highly collaborative to join our Engineering team. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to lead full-stack architecture decisions, build scalable distributed systems, and drive shared platform strategies across backend, frontend, and cloud ecosystems. Strong expertise in Go and React (JavaScript/TypeScript), along with deep knowledge of cloud-native architecture patterns and event-driven system design, is essential, along with experience in building and delivering commercial applications from concept to launch. The ability to design scalable service architectures, implement robust testing strategies (including integration and E2E), optimize performance across the full stack, and mentor other developers while collaborating across cross-functional teams will be key to your success in this role. If you're passionate about building high-quality, resilient systems that scale and love designing seamless platform experiences powered by event-driven workflows, cloud infrastructure, and modern web interfaces that drive gaming, virtual currency, and digital commerce experiences, we would love to hear from you! ABOUT US   Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. Qualifications & Skills: 5+ years of professional software engineering experience, with a strong focus on full-stack development using Go and React (JavaScript/TypeScript) Deep understanding of backend architecture patterns including microservices, event-driven architecture, and domain-driven design Hands-on experience designing and building RESTful APIs and/or gRPC services in Go, with a focus on performance, reliability, and maintainability Strong proficiency in React, including modern patterns such as hooks, context, and state management libraries (Redux, Zustand, or similar) Proven experience with cloud platforms (AWS, GCP, or Azure), including containerization (Docker, Kubernetes) and infrastructure-as-code (Terraform, Pulumi, or similar) Solid experience with message brokers and event streaming platforms such as Kafka, RabbitMQ, NATS, or similar technologies Strong knowledge of relational and non-relational databases (PostgreSQL, MySQL, Redis, MongoDB, or DynamoDB) Experience implementing CI/CD pipelines and automated testing strategies, including unit, integration, and end-to-end testing Familiarity with observability and monitoring tools (Prometheus, Grafana, Datadog, or similar) Strong understanding of distributed systems concepts such as eventual consistency, idempotency, fault tolerance, and retry strategies Experience mentoring junior and mid-level engineers and contributing to architectural decision-making processes Excellent communication and collaboration skills, with the ability to work effectively across cross-functional teams including product, design, and DevOps A proactive, ownership-driven mindset with a passion for writing clean, well-documented, and testable code Nice to Have: Experience with serverless architectures (AWS Lambda, Cloud Functions) Familiarity with GraphQL Exposure to WebSocket or real-time communication protocols Experience in gaming, virtual currency, digital commerce, or fintech domains Contributions to open-source projects Benefits:We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.    Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.   Criminal History Consideration: For the Tech Lead, we will conduct a background check that may include the following. Criminal history check. Employment verification. Education verification.   Relevance to job Responsibilities: The background check is relevant to this position because of the following role responsibilities: Accessing confidential company data Ensuring compliance with regulatory requirements Handling sensitive financial information/ managing budgets /accessing funds   Rights Under the Fair Chance Act: Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com

Location: Paris, France Workplace: OnSite 🤖 WHO WE ARE We’re building Mo — a health companion for everyone. We’re a small team within Alan, on a mission to redefine the future of care by democratizing access to medical expertise. We are building Mo, an intelligent, empathetic, multimodal LLM-based conversational AI assistant able to prescribe, triage, and proactively follow up on care. Imagine giving every person in the world instant, 24/7 access to personalised medical expertise - through chat, voice, or video. That’s what we are building 🤖. We kicked off the project in 2023, and we have launched Mo to all our french members (1M) in Q1 2026, making it the first safe AI health companion live at scale in Europe. 🚀 WHAT KEEPS US UP AT NIGHT We’re building a medical agent that works — reliably, safely, and at scale. You’ll work at the intersection of product engineering, ML engineering, and medical expertise. Our mission is to build the most accurate and reliable medical agent in the world, while delivering an outstanding conversational experience. Things we’re working on: - 💬 Deliver the most memorable chatting experience — You’ll work on making Mo the obvious choice when it comes to asking a health question. It means having a world-class snappy and delightful chatting experience, blazing fast time to answer, and rich content shared. - 🧱 Integrate Mo with Alan services and our healthcare system — You’ll work on integrating Mo with our other services (digital chat with HP, map of physical location of HPs, tailored prevention programs, …) to help members get from words to actions. - ➕ Extend our architecture to support the next chapters of Mo — You’ll work on our architecture, and agentic framework, to support Mo’s next needs (get more context, use new skills, be accessible in other countries we operate in) If you’re excited by the idea of building the future of healthcare, this is the team for you - we're at the start of the journey. If you’re curious, here https://arxiv.org/abs/2411.12808 is a paper we published recently. 🎯 IS IT YOU WE’RE LOOKING FOR? We’re looking for Product engineers with 3+ years of experience who get excited about building state-of-the-art AI systems and applying them to real-world, high-stakes problems in healthcare. - You’ll work at the frontier of LLMs, multi-agent architectures, and human-in-the-loop learning — and see your work deployed in production, helping real people. - You’ll implement new capabilities for Mo, working across engineering, data, and medical expertise - You'll have deep product ownership over the use cases supported in Mo, making sure we actually help our members get and stay better. - You’ll have significant influence on system architecture and code quality - You’ll mentor engineers, contribute to our product & engineering culture, and help build the team (including participating in hiring, shaping our interview loops, etc.). You would be a good fit in Mo if most of this sounds like you: - Applied background in software engineering and systems architecture - Experience with traditional ML, or LLMs, or ML dev ops is a big plus. - Product-minded: you want your solutions to be used, and impactful - Self-directed, pragmatic, driven, hard working - Humble and still willing to grow (no matter your seniority!) - Collaborative, enthusiastic about teamwork, learning, and teaching - Fluent in English (no need to speak French!) - Ex-founders are typically great fit in our team But above all, we are looking for high potential and curiosity: make sure to show us this when you apply! Everything else is a bonus. 🤘 HOW WE DO IT ? We benefit from Alan’s platform, infrastructure, distribution, and health expertise — but operate with the speed and focus of a startup. If you’re curious about Alan’s broader vision, our https://www.notion.so/alaninsuranceShareholder Letters https://alan.com/en/blog/discover-alan/a/alan-2025-q3-letter-to-shareholders are worth a read. People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values https://alan.com/about/company-culture that guide our approach to work, such as: HOW WE WORK: OUR LEADERSHIP PRINCIPLES - Mission is the Boss — We think long-term and are methodical optimists who take risks, seeking our mission's success above all else. - Distributed Ownership — Accountable enlightened despots: everyone owns their decisions and results. - Radical Transparency — All information is accessible and written-first, so everyone can make the best decisions asynchronously. - Always Growing — Direct, positive, and caring feedback, combined with self-growth ownership. 🙌 PERKS & BENEFITS https://alan.com/en/careers/a/salary-equity At Alan, we believe that being in good health is a basic need, and it starts with our employees. This is why Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers. Therefore, we offer: - Fair rewards. Generous equity packages complement your base salary. - Flexible Office. Amazing office space at our HQ, sponsored co-working hubs or a full-remote experience with home office equipment sponsorship, we want you to live where you’re the happiest. - All the tools you need. Top of the range equipment: Macbook Pro, keyboard, laptop stand, monitor, and noise-canceling headphones. - Flexible vacation policy and flexible working hours. Organize your time as you wish. - Delightful healthcare insurance: Extremely comprehensive health insurance - 100% for you and your children, 90-100% for partners depending on your country (permanent contracts only). - Transport. Country-specific commuter benefits. - Learning & Training opportunities. A highly flexible Training policy free books and budget to attend and speak at conferences if the opportunity arises. - Personal growth through coaching: At Alan, coaching isn't just a perk - it's core to who we are. Every Alaner is paired with a dedicated coach from day one, who helps maximize their impact, nurture engagement, and navigate Alan's values to develop their full potential. Learn more about our coaching culture https://alan.com/en/blog/discover-alan/a/alan-culture-excellence-through-coaching. - Parental leave. Extended parental leave for all new parents. IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES. If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply as it can only bring learnings or success. If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements? Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application! 🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info. #LI-DNP

О ПРОЕКТЕ Мы строим масштабную браузерную космическую игру на стыке Web3 и GameFi. Нам нужен инженер, который не просто пишет код, а «живет» играми и понимает, как устроена серверная магия виртуальных миров. ВАШИ КЛЮЧЕВЫЕ ЗАДАЧИ — Game Logic: Разработка и поддержка серверной логики космической игры. — Data Architecture: Проектирование и оптимизация работы с БД под игровые нагрузки. — Web3 Integration: (Будет плюсом) Взаимодействие со смарт-контрактами и кошельками. ЧТО МЫ ЖДЕМ ОТ ВАС — TS Power: Уверенное владение TypeScript (обязательно). — Database Skills: Глубокое понимание PostgreSQL и Redis. — Gamer Soul: Вы должны разбираться в играх и понимать специфику GameFi-архитектуры. — Experience: Навыки построения надежного бэкенда для игровых систем. БУДЕТ ПЛЮСОМ — Опыт в геймдеве (серверная часть, логика игровых механик). — Практический опыт с Web3 (блокчейн-интеграции, работа с кошельками). ПОЧЕМУ С НАМИ КРУТО? — Creative Freedom: Работа над уникальным GameFi-проектом в космическом сеттинге. — Flexibility: Полная удаленка и гибкое планирование своего времени. — Modern Stack: Минимум легаси, максимум современных решений.

Location: Armenia At thinkcell, we’re seeking bright, creative C++ Developers with a solid theoretical background. Whether you're a seasoned professional or a recent graduate in Computer Science, Physics, or Mathematics, what matters most is your problem-solving ability and C++ skills. At thinkcell, we combine deep technical challenges with a healthy work-life balance and a culture that values thoughtful engineering over rushed delivery. Most of our team is based in Berlin, but we also welcome remote developers working from UTC–1 to UTC+4, reflecting our commitment to flexibility and collaboration across regions. Ideal candidates have: Strong C++ programming skills (through education or experience) A background in Computer Science, Mathematics, or Physics A passion for elegant, efficient algorithms Ability to work independently and creative problem-solving approaches Good command of English (German not required) How You’ll Work You’ll collaborate closely with the team, without being stuck in recurring meetings. Your feature ships when you think it’s ready - no time pressure! We encourage contributions from anyone What We Offer Brilliant Team: Work with international colleagues with strong academic and professional experience Work–life balance: Flexible working hours and an environment that respects your time and focus. Stable Environment: Join a market leader with a reliable product. Competitive salary & Relocation Support to Berlin Guaranteed raise to 130k EUR after the first year Our Values As part of our team, you will embody and help shape the following principles that define us: Forward Thinking : We embrace change and challenge the status quo. Ownership : We take pride in our work and learn from our mistakes. Customer First : We prioritize delivering lasting value. Unified Team : We foster collaboration, respect, and integrity. Strive for Excellence : We set ambitious goals and pursue quality. Why is thinkcell the right place for you? We empower over 1.3 million users across 35,000 companies, including top consulting firms and major global enterprises. With offices in Berlin, Munich, Denver, Boston, London, Tokyo, and Dubai, we’re a diverse team of over 220 people, committed to innovation and excellence. thinkcell is more than a job – it's a chance to be part of an innovative, inclusive team that values collaboration and growth. We encourage applicants from all backgrounds to apply. Together, we can shape the future of productivity software. We can’t wait to see what you’ll bring to the team!

Location: United Kingdom; Bulgaria; Greece; Spain; Latvia; North Macedonia About Huzzle At Huzzle, we connect high-performing professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle. Role Type: Full-time Engagement: Independent Contractor Job Summary We are hiring a highly skilled AI Automation Engineer to design, build, and optimize intelligent workflows and automation systems. This role is ideal for someone experienced in integrating AI tools (such as LLMs and APIs) into business processes, with a strong focus on operational efficiency and scalability. This is a remote AI engineering role offering the opportunity to work on cutting-edge automation projects in a fast-paced, high-growth environment. Key Responsibilities Design and implement AI-driven automation workflows using tools like Zapier, Make (Integromat), and custom APIs Integrate large language models (LLMs) such as OpenAI, Claude, or similar into business processes Build and maintain automation pipelines for sales, marketing, and customer support functions Develop scripts and backend logic (Python, JavaScript) to support scalable automation Optimize workflows for performance, reliability, and cost-efficiency Collaborate with cross-functional teams to identify automation opportunities Monitor and troubleshoot automation systems to ensure smooth operation Document processes and create scalable SOPs for internal use Requirements 2+ years of experience in automation engineering, AI integration, or workflow automation Strong experience with automation platforms (Zapier, Make, n8n, or similar) Hands-on experience with AI tools and APIs (e.g., OpenAI, Anthropic, Hugging Face) Proficiency in Python and/or JavaScript Experience with REST APIs, webhooks, and database integrations Familiarity with CRM systems (e.g., HubSpot, Salesforce) is a plus Strong problem-solving skills and ability to think in systems and processes Excellent written and verbal communication skills Experience working in remote, fast-paced environments Benefits 💻 Fully Remote: Work from anywhere with international teams 🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

Location: Morocco We are looking to hire passionate Senior AI Engineers to help turn data into intelligent, production-ready solutions. You will work across the full AI stack: traditional machine-learning models, large language models (LLMs), computer-vision pipelines, and analytics / forecasting workflows. If you enjoy exploring data, building state-of-the-art models, and shipping reliable AI services, we would love to meet you. Responsibilities Model Development – Design, train, fine-tune, and evaluate models spanning classical ML, deep learning (CNNs, transformers), and generative AI (LLMs, diffusion). Data Exploration & Analytics – Conduct exploratory data analysis, statistical testing, and time-series / forecasting to inform features, prompts, and business KPIs. End-to-End Pipelines – Build reproducible workflows for data ingestion, feature engineering / prompt stores, training, CI/CD, and automated monitoring. LLM & Agentic AI Engineering – Craft prompts, retrieval-augmented generation (RAG) pipelines, and autonomous/assistive agents; fine-tune LLMs on domain-specific datasets to boost accuracy and align outputs with product requirements. AI Automation & Integration – Expose AI components as micro-services and event-driven workflows; integrate with orchestration tools (Airflow, Prefect) and business APIs to automate decision pipelines. Continuous Learning – Track advances in LLMs, vision, and analytics; share insights and best practices with the wider engineering team. Mentor junior engineers and contribute to technical direction and engineering best practices. Requirements BSc in Computer Science, Mathematics, or related field. 5+ years of professional experience working on AI/ML projects. Good command of English and Arabic (written and spoken). Proficient in Python and core libraries (PyTorch / TensorFlow, scikit-learn, pandas, NumPy). Solid understanding of machine-learning algorithms, deep-learning fundamentals, and basic statistics. Experience with data wrangling and visualization (Matplotlib / Plotly) and exploratory analysis. Familiarity with at least one of: OpenCV, Hugging Face Transformers, LangChain, MLflow, or similar. Good grasp of software-engineering best practices: Git, code reviews, testing, CI. Preferred Qualifications Knowledge of C++ or C# for performance-critical modules. Experience deploying models via Docker, Kubernetes, or cloud AI services. Exposure to vector databases and RAG workflows. Skill in BI / dashboard tools (Power BI, Tableau, Streamlit) or time-series frameworks (Prophet, statsmodels). Familiarity with MLOps / LLMOps tooling (DVC, MLflow Tracking, Weights & Biases, BentoML). Experience with image processing techniques (e.g., OpenCV, image segmentation, feature extraction) Experience with Spark (PySpark) and distributed data processing, including usage of platforms such as Databricks, AWS EMR, or GCP Dataproc. Strong SQL skills and experience working with large-scale datasets, including partitioning and performance tuning. Familiarity with modern data lake architectures and scalable data storage concepts.

О РОЛИ Мы ищем опытного backend-разработчика для усиления Web3-направления. Роль предполагает проектирование архитектуры, разработку ключевой серверной логики и развитие масштабируемых API. Основной фокус — производительность и устойчивость системы при работе с блокчейн-сервисами. ОСНОВНЫЕ ЗАДАЧИ — Проектирование и реализация сложной backend-логики на Python. — Развитие API и глубокая интеграция с внешними Web3-сервисами. — Оптимизация производительности и устойчивости высоконагруженных компонентов. — Участие в принятии ключевых архитектурных и технических решений. ТРЕБОВАНИЯ К КАНДИДАТУ — Опыт разработки на Python (FastAPI) от 1,5 лет. — Практический опыт работы с брокерами сообщений (Kafka) и кэшированием (Redis). — Опыт реализации межсервисного взаимодействия через gRPC. — Глубокое понимание микросервисной архитектуры и проектирования REST API. — Наличие завершенных проектов в сфере Web3. — Уверенное владение Django (ORM, middleware, management commands). БУДЕТ ПРЕИМУЩЕСТВОМ — Опыт работы с Docker и понимание принципов CI/CD. — Навыки оптимизации высоконагруженных (highload) систем. — Опыт работы с асинхронными фреймворками (ASGI). УСЛОВИЯ РАБОТЫ — Участие в разработке инновационных масштабируемых сервисов. — Реальная возможность влиять на архитектурный облик продукта. — Конкурентная заработная плата в стабильной валюте. — Работа в сильной инженерной команде с возможностью профессионального роста.

Location: Almaty, Kazakhstan Workplace: OnSite WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. WHO WE ARE LOOKING FOR Everyone at Higgsfield is an A-player. We’re looking for teammates who bring: - Deep backend expertise, with a strong focus on scalable systems and APIs. - A systems thinker who can design architectures that handle millions of users. - Readiness to thrive in a high-intensity startup environment. - Comfort in a high-intensity startup environment, where priorities shift fast. WHAT YOU WILL WORK ON - Architect & scale robust data pipelines from diverse web sources. - Handle large volumes of unstructured data (video, audio, images, text). - Analyze web apps & APIs for stable data extraction. - Own the full data acquisition process: automation, integrity, efficiency. YOUR MUST HAVES - 5+ years of experience. - Experience with highload systems. - Proven track record with large-scale data ingestion systems. - Media content storage & delivery optimization. - Strong knowledge of databases. - Performance tuning & profiling. - CDN, caching, message queues. - Independent, able to lead complex projects. - Willingness to work in a fast-paced startup environment. THE DEAL - Competitive salary in USD + stock options. - On-site role in our Almaty office (we will relocate you from anywhere) - Full-time position with high growth potential.

Задачи: — Разработка модуля ядра Linux (управление файлами и процессами). — Реализация логики контроля доступа (перехват системных вызовов, работа с VFS). — Адаптация кода с Windows на Linux (переписывание драйверной логики). — Глубокая оптимизация, отладка (perf, strace, GDB) и интеграция с Java-модулями. Требования: — Знание C/System programming: POSIX API, mmap, epoll/inotify, процессы/потоки, IPC. — Опыт создания модулей ядра Linux, понимание VFS, системные хуки (ptrace/seccomp). — Навыки отладки и профилирования: GDB, perf, strace. — Владение инструментами: Makefile, CMake, Git, CI/CD. — Знания в области безопасности: защита данных на уровне драйвера, учет уязвимостей. — Опыт работы в корпоративных системах безопасности (DLP, EDR, HIDS) и с пользовательскими функциями ОС. Условия: — Полный рабочий день (фултайм). — Работа удаленно, только на территории РФ. — Процесс отбора: тестовое задание и собеседование.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping customers understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your technical depth with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability. As a Commercial Solutions Architect, you'll go deep with priority accounts as a hands-on builder, while creating reusable blueprints, demos, and enablement that extend Claude's reach across the broader Commercial book of business. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems. Responsibilities: Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation Serve as the primary technical advisor to customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams and stakeholders to drive customer success Support customers building with the Claude API, Claude Code, and Claude for Enterprise Ship working code. Build prototypes and proof-of-concepts hands-on, develop eval frameworks, and write near-production examples that customers can extend Build reusable blueprints, demos, and enablement assets that scale across customers Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases Identify common integration patterns and contribute insights back to our Product and Engineering teams Travel occasionally to customer sites for workshops, technical deep dives, and relationship building Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns You may be a good fit if you have: 3+ years of highly technical experience as a software engineer (or equivalent) with some customer-facing exposure, OR 3+ years as a Solutions Architect, Sales Engineer, or Technical Account Manager with strong hands-on building experience A builder identity. You've shipped real software, you have technical taste, and you care about the craft of what you build A systems mindset. When you see a problem, your instinct is to ask "how do I make this reusable." You'd rather build one thing that serves ten customers than ten things that serve one each Strong coding ability. You ship prototypes regularly and can work in a real codebase, not just notebooks. Comfort with Python expected Strong ability to build trust with technical stakeholders and adjust your communication for varied audiences Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders Experience designing scalable cloud architectures and integrating with enterprise systems Familiarity with common LLM frameworks and tools, or a background in machine learning or data science Comfort operating in early-stage, ambiguous environments where the playbook doesn't exist yet, and a track record of building structure as you go Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $240,000 — $315,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Jetlyn разрабатывает комплексную CRM-экосистему для крупного застройщика. Требования: — Коммерческий опыт backend-разработки на Python от 3 лет — Уверенное владение FastAPI и Django, глубокое понимание asyncio для высококонкурентных задач — Опыт проектирования и реализации сервисов с нуля (архитектура, БД, API, деплой) — Твёрдое понимание алгоритмов и структур данных, умение выбирать оптимальные решения под нагрузку — Опыт написания тестов (pytest/unittest), соблюдения принципов чистого кода и code review — Понимание REST API, работы с реляционными БД, брокерами сообщений и кэшем — Готовность брать ответственность за фичу от постановки задачи до stable-релиза

Location: US, Boston, MA Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE As a Senior Platform Software Engineer at Humanoid, you will be at the heart of developing the core OS, data networks and protocols, and fundamental software subsystems for our next-generation humanoid robots. You will help develop the foundational software architectures that allow high fidelity robotic controls and AI development. You will be responsible for writing high-integrity software that runs on our robots, integrating sensors, safety systems, and computing platforms to enable safe human-robot collaboration. In this role, you will have the opportunity to take full ownership of new systems and directly contribute to the development of our future products. If you are interested in complex embedded software projects, thrive in a fast-paced, collaborative environment, and want to make a real impact on the future of human-robot interaction, we want you on our team! WHAT YOU’LL DO - Design & Create Embedded Software: Develop and validate embedded software that ensures our robots can operate at scale in the real world. - Hardware & Software Integration: Work at the intersection of hardware and software to integrate various robotic components (e.g., sensors, actuators, computing platforms) into a cohesive, fault-tolerant system. - Lead Cross-Functional Projects: Lead interdisciplinary projects that involve robotic perception, computing subsystems, and software integration, collaborating with engineers across multiple domains. - Test & Evaluate Systems: Integrate new systems with our robots to test, validate, and ensure that they meet safety requirements and perform reliably in real-world conditions. - Build Infrastructure for Innovation: Contribute to the development of tools, infrastructure, and operational practices within a small, agile R&D team focused on unlocking new capabilities for Humanoid robots. - Drive Safety in Robotics: Be part of a team working at the cutting edge of technology to improve the safety and performance of robots operating in real-world, human-centric environments. - Collaborate Across Teams: Work closely with electrical engineers, software developers, robotics control experts, physical AI developers, and other team members to integrate software systems with robotics hardware, ensuring seamless operation and performance.   WHAT WE'RE LOOKING FOR - 5+ years of experience developing and deploying production software in embedded systems running Linux (C++, C, Rust, Python, Go). - Experience developing time-sensitive, performance-critical applications. - Thorough understanding of Ethernet and IP networking and higher-level protocols like HTTP or gRPC. - Experience with Linux build environments like Yocto or Buildroot. - Experience in building Linux kernels and modifying or writing device drivers. - Experience with NVIDIA’s Jetson platform is a plus. - Experience working with sensor data, including cameras, lidars, radars, and IMUs is a plus. - Strong communication skills, with the ability to write clear technical documentation and deliver presentations on complex topics. - Proven history of leading cross-functional technical projects, including developing technical requirements and driving collaboration across teams. - Experience working in small, agile teams with fast iteration cycles and interdisciplinary collaboration. WHAT WE OFFER - Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources. - Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays. - 401(k) retirement plan with employer match. - Equity included–we believe builders should share in what they build. - Free daily catered lunch, snacks, and drinks in‑office. - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics. - Freedom to influence the product and own key initiatives. For this role in Massachusetts, the expected base salary range is $180K–$250K USD per year; your placement in that range depends on how your experience maps to our internal leveling.

Location: United Kingdom At thinkcell, we’re seeking bright, creative C++ Developers with a solid theoretical background. Whether you're a seasoned professional or a recent graduate in Computer Science, Physics, or Mathematics, what matters most is your problem-solving ability and C++ skills. At thinkcell, we combine deep technical challenges with a healthy work-life balance and a culture that values thoughtful engineering over rushed delivery. Most of our team is based in Berlin, but we also welcome remote developers working from UTC–1 to UTC+4, reflecting our commitment to flexibility and collaboration across regions. Ideal candidates have: Strong C++ programming skills (through education or experience) A background in Computer Science, Mathematics, or Physics A passion for elegant, efficient algorithms Ability to work independently and creative problem-solving approaches Good command of English (German not required) How You’ll Work You’ll collaborate closely with the team, without being stuck in recurring meetings. Your feature ships when you think it’s ready - no time pressure! We encourage contributions from anyone What We Offer Brilliant Team: Work with international colleagues with strong academic and professional experience Work–life balance: Flexible working hours and an environment that respects your time and focus. Stable Environment: Join a market leader with a reliable product. Competitive salary & Relocation Support to Berlin Guaranteed raise to 130k EUR after the first year Our Values As part of our team, you will embody and help shape the following principles that define us: Forward Thinking : We embrace change and challenge the status quo. Ownership : We take pride in our work and learn from our mistakes. Customer First : We prioritize delivering lasting value. Unified Team : We foster collaboration, respect, and integrity. Strive for Excellence : We set ambitious goals and pursue quality. Why is thinkcell the right place for you? We empower over 1.3 million users across 35,000 companies, including top consulting firms and major global enterprises. With offices in Berlin, Munich, Denver, Boston, London, Tokyo, and Dubai, we’re a diverse team of over 220 people, committed to innovation and excellence. think cell is more than a job – it's a chance to be part of an innovative, inclusive team that values collaboration and growth. We encourage applicants from all backgrounds to apply. Together, we can shape the future of productivity software. We can’t wait to see what you’ll bring to the team!

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We're hiring a Senior Simulation Engineer to join our VLA team based in London. In this role, you will build and maintain simulation environments for dexterous manipulation tasks across industrial, service, and home domains. This is primarily a simulation and reinforcement learning-focused role, so we are looking for experience creating realistic physics-based environments and training RL policies, while experience in robotics isn't strictly required. However, if you don't have such experience, be prepared that you'd need to familiarize yourself with a new domain quickly. WHAT YOU’LL DO - Design and implement gym environments for manipulation tasks spanning industrial, service, and home settings, defining appropriate observation spaces, action spaces, and reward functions. - Analyze and address reward hacking - identify cases where learned policies exploit reward misspecification and iterate on reward design to produce robust behaviors. - Analyze and reduce the sim-to-real gap by tuning physics parameters, improving asset fidelity, and validating simulation behavior against real-world data. - Work with third-party vendors to procure, validate, and integrate high-quality 3D assets (objects, fixtures, environments) suitable for physics-based simulation. - Ensure correct physics setup - contact dynamics, friction, mass properties, joint limits - so that trained policies transfer reliably to hardware. - Identify and reduce simulation bottlenecks to maximize training throughput and environment step rates. - Improve our simulation-based evaluation and reinforcement learning infrastructure to support rapid iteration and scaling. WHAT WE'RE LOOKING FOR - 3+ years building simulation environments or game-engine-based interactive systems (industry or research) with shipped products, published results, or equivalent artifacts to show for it. - Deep hands-on experience with at least one physics simulator (Isaac Sim/IsaacLab, MuJoCo, PyBullet, Drake) or equivalent game engine experience (Unreal, Unity) with a focus on physically accurate interactions. - Strong practical experience running large-scale parallel simulation on GPU clusters and good familiarity with modern GPU-accelerated simulation infrastructure. - Strong Python; you can profile bottlenecks, debug physics issues, and write maintainable research code. - Familiarity with modern software engineering practices. - You document experiments clearly and communicate trade-offs crisply. Nice to have: - Robotics or manipulation-specific experience (grasping, contact-rich tasks, deformable objects). - Experience designing reward functions and training RL policies in simulated environments; solid understanding of common failure modes (reward hacking, distribution shift, sim-to-real gap). - Experience with NVIDIA Isaac Sim & IsaacLab specifically. - Experience with domain randomization, system identification, or other sim-to-real transfer techniques. - Publications at top-tier robotics or RL conferences or equivalent open-source contributions. - Familiarity with robocasa, robosuite or similar open-source manipulation simulation frameworks. WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: London, England Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? We’re looking for Senior+ AI Infrastructure Engineers to build the systems that train and serve Fin's next generation of AI products. Fin is an AI company that builds from the GPU all the way up to a user agent that resolves millions of customer service queries a month. You’ll join a small, highly technical team working at the cutting edge of modern AI infrastructure. The AI Infra team built the training pipelines and runs the inference for custom models like Fin Apex, which outperforms frontier models in customer service tasks, and is the foundation of the AI Group's full stack approach to AI. We’re particularly interested in engineers who have: A track record of working on model training or model inference at scale , or on low‑level GPU coding (e.g. CUDA, Triton). Experience with one is great, multiple is even better. What will I be doing? As a Senior AI Infrastructure Engineer focused on model training and inference, you will: Implement and scale training pipelines for large transformer and LLM models, from data ingestion and preprocessing through distributed training and evaluation. Build and optimize inference services that deliver low‑latency, high‑reliability experiences for our customers, including autoscaling, routing, and fallbacks. Work on GPU‑level performance : tuning kernels, improving utilization, and identifying bottlenecks across our training and inference stack. Collaborate closely with ML scientists to implement cutting edge training and inference methods and bring them to production. Play an active role in hiring, mentoring, and developing other engineers on the team. Raise the bar for technical standards, reliability, and operational excellence across Fin's AI platform. Profile we’re looking for: These are indicative, not hard requirements We’re looking to hire Senior+ AI Infrastructure Engineers . You’re likely a great fit if: You have 5+ years of experience in software engineering , with a strong track record of shipping high‑quality products or platforms. You hold a degree in Computer Science, Computer Engineering, or a related field (or you have equivalent experience with very strong fundamentals). You have hands‑on experience with one or more of the following: Model training (especially transformers and LLMs). Model inference at scale (again, especially transformers and LLMs). Low‑level GPU work , such as writing CUDA or Triton kernels. Comfortable working in production environments at meaningful scale (traffic, data, or organizational). You communicate clearly, can explain complex technical topics to different audiences, and enjoy close collaboration with both engineers and non‑engineers. You take pride in strong technical fundamentals , love learning, and are willing to invest in your own development. Have deep knowledge of at least one programming language (for example Python, Ruby, Java, Go, etc.). Specific language experience is less important than your ability to write clean, reliable code and learn new stacks quickly. Bonus skills & attributes None of these are required, but they’re nice to have: Experience at AI native companies that train and/or run inference for their own models (e.g. modern AI labs or AI‑native product companies). Experience running training or inference workloads on Kubernetes . Experience with AWS or other major cloud providers. Production experience with Python in ML or infrastructure contexts. Demonstrated passion for technology through personal projects, open source, meetups, or publishing content about your work and learnings #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.