Вакансии

О проекте Промышленная видеоаналитика. Ядро уже работает - детекция, трекинг, распознавание лиц, детектор СИЗ, API и веб-интерфейс. Нужно довести систему до продакшн внедрения. Задачи: - Довести распознавание лиц до измеримого качества: разметка, калибровка порогов, метрики FAR/FRR - Устойчивое отслеживание - Оптимизация производительности пайплайна под CPU-only сервер для оффлайн обработки - Обучение и дообучение детекторов на собственных данных, организация разметки Требования - Уверенный Python + Go, опыт с ONNX/ONNX Runtime (экспорт, opset, оптимизация latency на CPU, а не GPU serving) - Опыт с YOLO - Face detection/recognition пайплайны (детектор + embedding + порог по cosine similarity) - Опыт с OpenCV DNN/Zoo моделями плюс - Object tracking (IoU/ByteTrack-подобные трекеры, multi-object tracking metrics, ID switches)

Привет!) Мы - DocsInBox - Saas-платформа для ресторанов: закупки, документооборот, госсервисы - все в одном окне. 15 000 заведений на платформе, 10+ лет на рынке. Наша поддержка - это 80 бодрых ребят, которые каждый день помогают ресторанам по всей стране.

Location: Lithuania; Bosnia & Herzogovina; Estonia; North Macedonia; Belgium; Andorra; Slovenia; Malta; Italy; Montenegro; France; Latvia; Albania; Czech Republic; Greece; Slovakia; Kosovo; Yerevan; Bulgaria; Moldova; Georgia; Bosnia and Herzegovina; Poland; Czechia; Croatia Workplace: Remote [https://app.ashbyhq.com/api/images/user-content/b540b9e2-0673-4d2d-91fd-e293658f4f6a/d3e64011-c6d4-4b26-a690-9a8685951ed7/job%20ad%20visual.png] At Foxelli, we’re building more than e-commerce brands - we’re building a tribe of thoughtful humans: AI enthusiasts, curious builders, and ambitious minds who care about doing meaningful work together. Ten years in, our D2C brands reach millions and generate over $20M annually. Our focus stays simple: create products customers love and a team that actually enjoys building them. If you love to learn, experiment, think boldly, make decisions, and build things that matter - you’ll feel at home with us.   WHY JOIN FOXELLI? We are a fast-moving e-commerce company that builds our own proprietary AI infrastructure. We develop internal AI-driven systems to automate complex creative and analytical workflows, which we later scale into B2B SaaS products. We are not looking for a traditional developer. We are looking for an AI-Native Builder who can turn an idea into a functional prototype in days using the latest AI-assisted development tools.   THE ROLE As a Founding AI Engineer, you will work directly with the founder to design, build, and iterate on various AI systems. The projects will vary - from computer vision and image manipulation to automated video generation and agentic data analysis. You will be responsible for the full pipeline: from R&D of the best AI models to deploying scalable web applications. Who You Are: - Modern Developer: You have abandoned "manual-only" coding. You are a power user of tools like GPT Codex, Claude code, and Replit, allowing you to build at a 10x pace. - AI Generalist: You are comfortable working across different AI domains - LLMs (Text/Reasoning), Diffusion (Image/Video), and Vision models. - Agile & Adaptive: You thrive in an environment where projects evolve. You are a fast learner who can master a new AI framework or API over a weekend. - Hacker Mindset: You focus on ROI. You build lean MVPs, test them in our real-world e-commerce operations, and only then polish them for scale. - Architecture-Aware: You know how to orchestrate multiple AI models into a single "Agentic" workflow that handles complex tasks autonomously. Technical Interests: - Stack: Next.js / Python (FastAPI). - AI Frameworks: ComfyUI / Diffusers, IP-Adapters, ControlNet, and Agentic frameworks (LangChain/CrewAI). - Infrastructure: Experience with Serverless GPU providers (Replicate, Fal, RunPod). - Integrations: Skilled at connecting diverse APIs to create seamless automated systems. Why Join Us: - Direct Impact: Build tools that are immediately put to use in real-world business scenarios. - Extreme Speed: No corporate red tape. If the tech works, we ship it. - Evolution: This is a founding role with the opportunity to lead multiple product lines as we transition from internal tools to SaaS.   THE RECRUITMENT PROCESS 1. Apply - A simple form that helps us know who’s stepping into our world. 2. Ribbon AI Interview - Ribbon is a short, guided video step that helps us understand your thinking style in a calm, private space 3. Interview - A conversation with your manager to feel the work chemistry, get to know each other, and explore what we could build together   FIXED SERVICE FEE €2000- €3000 after taxes (depending on your skills, competencies, and experience). PERKS & BENEFITS - Full flexibility with your schedule in a fully remote setting, while Apploye ensures transparency and fairness. - Complimentary gym memberships and company-sponsored outdoor adventures for your strength and to keep your physical well-being in check. - A personal development budget is at your disposal for your personal and professional growth to ensure you keep growing continuously. - Generous paid time off, including parental leave and vacation days, to recharge and rejuvenate and ensure you’re well-rested. - A budget for your home office setup so you’re comfortable working how you like and where you like. - Strong company culture and a network of unique individuals that celebrate you.   ELIGIBILITY & LOCATION REQUIREMENTS ❕This role is 100% remote. - Our tribe works primarily in the Eastern European Time Zone (EET - UTC+2/UTC+3). We also use Revolut for payments, so we are open to hiring candidates in countries where Revolut payments are supported. - For full-time roles, we ask that you’re available for at least 5 hours during typical EET working hours - it keeps collaboration smooth and communication easy. (This doesn’t apply to part-time roles.)   Currently, we are hiring in Albania, Bosnia and Herzegovina, Croatia, Czech Republic, Estonia, Greece, Georgia, Kosovo, Latvia, Lithuania, Moldova, Montenegro, North Macedonia, Poland, Portugal, Romania, Slovakia, Malta, Slovenia, Serbia, Cyprus, Bulgaria, Hungary, Netherlands, the United Kingdom, and South Africa.

Digital подразделение крупной производственной компании в поисках Data Engineer (Middle / Senior) в команду, которая строит Корпоративное Хранилище Данных и data-платформы для всего бизнеса. Основной стек проекта: Язык программирования Python Базы данных Greenplum и PostgreSQL Фреймворк Data Build Tool (DBT) Фреймворк Spark Брокер сообщений Kafka Оркестратор Airflow Инфраструктура: Kubernetes Управление инфраструктурой: Terraform, Ansible Управление кодом: GitLab, SonarQube Мониторинг: Prometheus, Grafana, AlertManager Задачи: — Разработка и поддержка ETL/ELT-процессов в Корпоративное Хранилище Данных — Организация и оптимизация пайплайнов данных — Разработка витрин данных и обеспечение качества данных — Настройка и поддержка инфраструктуры данных (Airflow, Spark, Kafka, DBT) — Взаимодействие с заказчиками: от сбора требований до внедрения и сопровождения решений — Документирование и презентация результатов Требования: — Опыт работы Data Engineer от 5 лет — Высшее образование (IT/математика/математическая статистика/физика) — Отличное знание Python и SQL — Опыт работы с реляционными БД (Greenplum / PostgreSQL) — Знание современных технологий обработки больших данных — Опыт с Airflow, Spark, Kafka, DBT — будет преимуществом — Умение работать в команде, сильные аналитические навыки и ответственность Условия: — Официальное оформление по ТК РФ — Возможность выбора формата работы (удаленка, гибрид, офис) — Развитый социальный пакет, ДМС, бонусы

Задачи: — Владеть проблемой, превращая цели в AI-решения в продакшене. — Строить и адаптировать большие языковые модели (LLM); дообучать или дистиллировать модели для повышения производительности. — Обучать собственные модели, включая сбор и оценку данных. — Принимать решения о разработке или покупке на основе чётких метрик и ограничений. — Выпускать функции в продакшен и мониторить их эффективность. Требования: — Опыт инженерной работы 5+ лет с сильными навыками программирования. — Практический опыт с LLM: retrieval, использование инструментов и контекстное проектирование. — Подтверждённый опыт обучения моделей на реальных производственных данных. — Владение Python, PyTorch и использованием GPU. — Английский язык на уровне Intermediate и выше. Желательно: — Опыт работы с инференсом в реальном времени, модерацией контента или рекомендательными системами. — Знакомство с Docker, Kubernetes и облачными платформами. Условия: — Конкурентная зарплата и опционные программы — все являются партнёрами. — Официальное трудоустройство на Кипре (поддержка визы для сотрудника и супруга). — Комфортный офис в Лимассоле с обеспечением питания и перекусов. — Медицинская страховка для сотрудника и семьи. — Возможности для профессионального роста, уроки греческого языка и командные мероприятия.

Location: Oakland, California, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. ​ During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran and dbt Labs is building data pipelines to power the modern data stack for thousands of companies. Fivetran is looking for a high-performance, experienced engineer to be a part of a team of Site Reliability Engineers. You will be working closely with engineering teams, product managers, as well as support and sales engineers to build the future of the Fivetran Data Platform Reliability. As a member of the Site  Reliability Engineering team, you will take ownership of the overall performance and reliability of Fivetran’s infrastructure, the robustness of the deployment pipeline, as well as timely and effective incident response and resolution. You will take responsibility for the growth and stability of Fivetran’s infrastructure, and be a key player driving effective incident response and overall issue avoidance. This is a full-time position based out of our Oakland, CA office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. What You’ll Do Responsible for ongoing reliability and robustness of Fivetran’s production infrastructure by monitoring availability, capacity, and throughput. Evolve systems by adding reliability into our product roadmap Coordinate the re-prioritize or fix critical bugs for support or sales requirements as needed Make recommendations to production infrastructure by interfacing with engineering to ensure 100% availability Ensure scalable artifacts deployment to all environments by automation scripts Constantly monitor infrastructure vulnerabilities and remedy them by working with the security team Skills We’re Looking For Expertise in  managed Kubernetes (EKS, AKS and GKE) Expertise of Cloud Platforms and related tooling: AWS, Azure, GCP, Terraform, Ansible, Buildkite, Pulumi and ArgoCD Expertise in Python Programming. Expertise with Linux operating systems internals and administration Expertise with cloud networking like VPNs, Privatelinks, and Private Service connect (GCP) Experience with databases such as PostgreSQL Bonus Skills​ Bonus if you have Java, GO Programing #LI-HYBRID #LI-EM1 The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Oakland Pay Range $232,338 — $290,422 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Hong Kong Nex is on a mission to help families rediscover the joy of movement. Created by parents for parents, Nex combines technology and play to deliver fun, social, and interactive experiences powered by natural body motion, encouraging kids and adults to move more, play more, and have fun together. Nex Playground, the company’s award-winning active play system, is purpose-built to get families moving year-round, with safety and privacy as core considerations in its intentional design. It is certified kidSAFE+ COPPA compliant and built to support healthy, active play for all ages and abilities. Nex Playground features a growing library of 50+ experiences, including motion and dance games, fitness and educational experiences, and Nex Originals. Content includes collaborations with partners like Hasbro, Sesame Workshop, and NBCUniversal. Nex has been recognized by Fast Company’s Most Innovative Companies, TIME’s Best Inventions, and Parents’ Best Entertainment System for Families, and has earned Red Dot, IDEA, and Core77 international design awards. We encourage you to explore Have Fun and Is Motion Gaming Back? , as they offer a deeper look into our culture, values, and explain how our approach to motion gaming differs from previous generations. Nex employees may be expected to collaborate with colleagues across different time zones. Depending on the role and location, occasional travel may also be required for company events, external meetings, and other business-related activities. Important Notice: ⚠️ To protect yourself from recruitment scams, please note that Nex communicates through official company emails ending in @nex.inc . If you receive a suspicious email or message, please do not respond and report it immediately to us. Location: Hong Kong Type: Full Time Internship (June 1, 2027 - August 31, 2027) The Role The Core Technology team develops the technologies that allow Nex Playground to use cameras, microphones, and other sensors to understand player movement and interactions in real time. As our Software Engineer Intern (ML Research, Core Technology) , you will explore and develop machine learning methods that expand what Nex Playground can perceive and understand. You may work on computer vision, audio, sensor fusion, or other sensing problems, taking ideas from research hypotheses through experimentation, evaluation, optimization, and working prototypes. You will collaborate with ML researchers and software engineers to build datasets and experimental workflows, evaluate ideas rigorously, and demonstrate promising technologies under real-world and on-device constraints. You will receive hands-on mentorship while owning a meaningful research project that contributes to our future products and technical direction. What You Will Do Develop and evaluate ML models and algorithms for computational perception and interaction. Design rigorous experiments, improve datasets, compare approaches, and understand failure modes. Build training and evaluation tools, and optimize promising models for real-time, on-device inference. Collaborate with researchers and engineers to prototype technologies on Nex Playground and communicate your findings. Should Have Must be currently enrolled in an undergraduate or graduate degree program at an accredited college or university. Strong interest in machine learning and enthusiasm for learning new methods and tools. Solid mathematical fundamentals and comfort with quantitative reasoning. Strong analytical and problem-solving skills. Programming experience in any language. A curious, systematic approach to learning through experimentation. Strong communication and collaboration skills. Nice To Have Experience with Python or familiarity with PyTorch, TensorFlow, or another ML framework. Interested in computer vision, audio processing, sensor fusion, or multimodal learning. Interested in model optimization, on-device inference, GPUs, NPUs, or resource-constrained devices. Interested in data curation workflows, or dataset quality analysis. Enthusiastic about games, interactive physical experiences, and helping people be active and healthy. We Offer Competitive compensation package. Flexible working hours and vacation policy. Product-driven culture that treasures talents and individual growth. Front-row seat and hands-on experience with cutting edge technologies in the evolving gaming field Nex is located in San Jose, California, USA and Hong Kong . Learn more about us at https://www.nexplayground.com/about . We encourage applications even if you don’t meet more than 50% of the requirements — we believe that experience comes in many forms! Nex is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, gender identity, and sexual orientation), national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable law. This policy applies to all individuals at every stage of the employment relationship, including all current and prospective employees, and covers all employment decisions including recruitment, hiring, job assignment, promotion, compensation, benefits, training, discipline and termination. We are committed to providing a workplace free from discrimination and harassment and to fostering an inclusive environment for all employees.

Location: Chicago, Austin DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. The Virtualization team provides scalable on-premises compute for DRW’s trading desks, data scientists, and enterprise application teams. Our goal is to enable teams to keep focused on their business goals by providing simple, scalable solutions with off the shelf tools and the right amount of focused engineering. We're looking for a Senior Engineer for our Virtualization team who will help guide the design and implementation of a new OpenStack-based virtualization platform. In this role you will help guide key architectural decisions for this platform, set engineering standards, identify and eliminate risks, and ensure optimal performance and cost-efficiency. Our philosophy: We believe in relentless automation of repetitive tasks. We have the curiosity and drive to dig deep and find creative solutions. We believe our goal is to find the right solution rather than always being right. We provide exceptional customer service to our teams and trading desks. We care more that the right thing is done than about rigid job descriptions or boundaries. What you’ll do: Own and improve infrastructure, processes, and standards for DRW’s Virtualization platform. Relentlessly automate repetitive manual tasks. Design, implement, and manage OpenStack clouds, including deployment, configuration, and maintenance of OpenStack components. Diagnose and rectify complex problems involving multiple teams related to OpenStack including compute, storage, and networking issues. Provide exceptional customer service to our platform’s users. Coach engineers on best practices, help investigate outages, set a high standard for operational and technical excellence. Ability to troubleshoot and resolve critical production issues in a high-intensity trading environment as part of an on-call rotation. Your background: Expert level proficiency in administration of OpenStack. Deep knowledge of networking, storage, Linux, and virtualization fundamentals. Proficiency with industry-standard IAC tooling (e.g. Terraform, Ansible). Scripting/Coding experience in multiple languages (e.g. Python, Golang, Bash). Experience maintaining/deploying/configuring server hardware and deploying virtual machines. A service focused attitude: you ask questions and focus on getting the right resources and solutions to people instead of rigid boundaries. Strong written and verbal communication skills. You can work across teams and have evidence-based discussions on technical and operational topics. You enjoy leading by example. You cultivate technical excellence and soft skills in your team members. Bonus points if you have: Experience with VMWare ESXi. Experience with Containerization / Kubernetes. Experience administering on-premise infrastructure. Experience developing, deploying, and supporting full stack web applications. Experience with multiple programming languages in both greenfield development and legacy maintenance. The annual base salary range for this position is $220,000 to $280,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . [#LI-SK1]

Location: Paris ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE As an Applied AI Engineer, your mission is to make Mistral AI-native from the inside. You lead the design and delivery of production-grade AI systems in rapid cycles, building the iconic use case for multiple department (eg: GTM, HR, Engineering, Finance, ect) in your portfolio. You sit where product, engineering and the business overlap, turning advanced technology into real-world solutions that move a metric. You translate complex, often ambiguous business requirements into engineered solutions that work at scale. You act as the technical lead for your departments and contribute as an Individual contributor you guide the technical choices, build the solution end to end, drive adoption, and keep improving it. Your goal is to build clients trust, and deliver high ROI solutions, not a hit-and-run POC. WHAT YOU WILL DO - Run discovery with department heads and key users, map their workflows, and turn ambiguous needs into a prioritized use-case backlog with clear expected value. - Deliver end to end: design and ship production-grade full-stack apps (Python/FastAPI, React) and AI systems, from scoping through deployment and adoption. - Encode business rules, KPIs and ROI metrics as durable datalake assets and app logic, so your departments run on trustworthy, observable data. - Dogfood the latest Mistral products as a first internal user, and turn what you learn into credible product feedback that shapes the roadmap. - Own architecture for your surface: keep it scalable, secure and observable, with a high bar on clean code. - Spot patterns across departments and lift one-off solutions into reusable building blocks. WHAT WE'RE LOOKING FOR - At least 3 years building and deploying production AI software. - Strong full-stack engineer: Python/TypeScript, scalable backends (FastAPI/Node), and enough frontend (React/Vue) to ship a usable app yourself. - Hands-on with modern GenAI use cases: RAG, agents, workflows, orchestration and evaluation. - Strong command of vibe-coding tools, paired with genuine care for clean code and architecture: speed without slop. - Strong ownership and a bias for delivery. This is made for high-velocity engineers who already have experience. - Fluent in AI-native tools (Slack, Linear, etc.). - Passionate about solving customer problems. Here, your customers are Mistral's own teams. - Excellent communication in fluent English: you can explain a technical idea to a lawyer, a marketer and a staff engineer in the same afternoon. NICE TO HAVE - Exposure to Legal, Public Affairs, Marketing or Compute/Infra domains, or a track record of getting fluent in an unfamiliar domain fast. - Data engineering or analytics experience (warehouse modeling, dbt, dashboards). - Contributions to open-source projects, especially around LLMs. - A builder's instinct for internal tooling and platform reuse. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: New York, New York, United States Artificial Intelligence Engineer - Vice President Department: Software Engineering About the Role iCapital is seeking a Vice President Artificial Intelligence Engineer to lead the design, development, and delivery of production-grade AI systems that drive measurable business outcomes across the firm. This individual will own key workstreams and serve as a technical leader, driving system design, mentoring engineers, partnering directly with business stakeholders, and ensuring that AI capabilities are built to production-grade standards of reliability, scalability, and measurability. The ideal candidate is a seasoned engineer with a track record of shipping complex AI systems end-to-end and someone who combines deep technical expertise with strong cross-functional partnership, architectural judgment, and able to operate as a force multiplier for the team. This role is expected to bring independent judgment on a technical approach, a bias toward delivery, and able to translate ambiguous business needs into well-scoped, well-executed solutions. Responsibilities Lead the architecture and delivery of production AI systems, including document intelligence (IDP), intelligent knowledge systems, agentic orchestration, conversational AI, and generative AI applications, to power internal and external business processes, digital experiences, and workflow automation at scale. Own AI projects end-to-end, from problem scoping and stakeholder alignment through solution design, implementation, deployment, monitoring, and continuous improvement, delivering tangible business outcomes with a track record of consistent, high-quality delivery. Drive technical design and architectural decisions for the team, including API design, system decomposition, evaluation strategy, and infrastructure patterns, establishing standards that raise the quality bar across the AI/ML platform. Architect and champion robust evaluation frameworks for AI systems, defining statistically sound, problem-specific metrics, curating benchmark datasets, and enforcing strict versioning to ensure reproducibility and continuous improvement. Partner directly with cross-functional stakeholders, including the Product, Operations, Legal, and Business teams, to identify AI opportunities, translate requirements into technical plans, and communicate tradeoffs, risks, and recommendations clearly. Mentor and develop engineers on the team through code review, design review, pair problem-solving, and knowledge sharing, acting as a technical role model and raising the overall capability of the group. Identify systemic problems and propose solutions, proactively improving team processes, tooling, and infrastructure to reduce technical debt and increase development velocity. Qualifications 7+ years of experience developing and deploying production AI/ML systems, including cloud-native solutions on AWS or similar platforms, with a proven track record of delivering complex applications from design through production Strong proficiency in Python and software engineering best practices, including source control, CI/CD, testing, documentation, and the development of scalable, maintainable software Deep expertise building production AI solutions, including LLM applications, AI agents, retrieval-augmented generation (RAG), conversational AI, document intelligence, and agentic workflows, with hands-on experience using modern AI frameworks, tooling, and protocols such as MCP and A2A Experience designing, deploying, and operating end-to-end machine learning pipelines, including model training, deployment, monitoring, evaluation, and continuous improvement in production environments Strong foundation in statistics, experimentation, data quality, and AI system evaluation, with experience developing benchmarks, defining performance metrics, analyzing errors, and optimizing systems for accuracy, reliability, scalability, cost, and latency Experience leading technical design and architectural decisions, conducting code and design reviews, mentoring engineers, and driving engineering excellence across teams Excellent written and verbal communication skills, with the ability to document technical solutions, collaborate with cross-functional stakeholders, and communicate complex concepts to both technical and non-technical audiences Experience spanning multiple AI domains, including LLM systems, document intelligence, and ML platforms or infrastructure Experience in financial services or FinTech, particularly within document-heavy, regulated, or compliance-sensitive environments is preferred Contributions to open-source projects, technical publications, conference presentations, patents, or other demonstrated thought leadership in applied AI and machine learning is preferred Benefits The base salary range for this role is $170,000 to $210,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Задачи: — Стриминг и обработка исходных данных с мейнфрейм и устаревших систем, загрузка в AWS S3. — Проектирование и реализация ETL/ELT процессов с использованием AWS Glue. — Проведение сверки данных, проверок качества и валидации для обеспечения точности и надежности данных. — Кураторство и трансформация данных, предоставление чистых наборов данных через AWS Aurora и RDS (PostgreSQL). — Управление хранилищем S3, включая политики хранения данных, стратегии архивирования и управление жизненным циклом. — Автоматизация рабочих процессов и управление деплойментом с помощью GitHub и CI/CD на базе GitHub Actions. — Использование AI-инструментов для повышения продуктивности инженерии и автоматизации рабочих процессов с данными. Требования: — Опыт работы в Data Engineering не менее 5 лет, создание и доставка конвейеров данных, ETL/ELT процессов или платформенных решений. — Практический опыт работы с AWS Glue для проектирования и реализации ETL/ELT процессов. — Глубокие знания AWS сервисов: S3, RDS/Aurora, Glue. — Опыт построения и поддержки потоковых конвейеров данных с использованием Kafka. — Опыт реализации сверки данных, проверок качества и процессов валидации. — Владение управлением репозиториями GitHub и автоматизацией CI/CD с помощью GitHub Actions. — Опыт использования AI-инструментов для автоматизации рабочих процессов и повышения продуктивности. — Способность самостоятельно брать ответственность за результаты и доводить задачи до завершения с минимальным контролем. — Опыт работы с данными мейнфрейм или интеграции с устаревшими системами будет плюсом. — Знакомство с MongoDB или другими NoSQL базами данных будет плюсом. Условия: — Оплата $65 в час на основе W2. — Полностью удаленная работа.

Location: Barcelona, Spain; Madrid, Spain About Workato Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit workato.com . Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles . We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care . That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: Business Insider named us an “enterprise startup to bet your career on” Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America Quartz ranked us the #1 best company for remote workers Workato is looking for an Engineering Manager to lead the ChatBots and AI team within our Platform organization. This is a high-ownership role for someone who thrives in ambiguity: you turn unclear requirements into clear execution plans, make confident decisions with incomplete information, and keep both the team and leadership aligned. The team is fully remote and international - you'll build the processes and culture that make it work at pace. About the Team The ChatBots and AI team's mission is to deliver AI agents to end users. We own the runtime and integration layer - conversation storage, API design, streaming, and integrations with external interfaces like Slack and other applications. The team is made up of Senior and Staff engineers working in Ruby/Rails and Go on a modern stack: PostgreSQL, Kafka, Redis, Kubernetes, and AWS. You'll collaborate with dedicated QA, SRE, and UX/UI teams, as well as engineering teams across the broader organization. Workato has a strong cross-functional culture - your team won't work in isolation. What You'll Do Delivery Partner with Product Managers and stakeholders to scope projects, set timelines, and define what success looks like Plan and track execution across quarters and sprints; deliver on schedule without compromising quality Identify blockers early, resolve them decisively, and escalate when escalation is the right call Balance feature work against internal investments - AI-SDLC, CI/CD, platform upgrades, and technical debt Team Manage, mentor, and grow a team of Senior and Staff engineers Own hiring, onboarding, and performance management Design team processes that fit a distributed, asynchronous environment - and evolve them as the team and company change Apply AI tooling to how the team works, not just what it builds Technical Ownership Participate in architecture and design decisions as a technical peer to your engineers Make trade-off calls on scope, approach, and sequencing - and be accountable for them Understand the system deeply enough to allocate the team's capacity where it matters most Communication Keep leadership informed on progress, risks, and blockers with clarity and without spin Build working relationships with peer leads across engineering and product Represent your team's priorities and constraints in cross-team planning What We're Looking For 5+ years managing engineering teams, including Senior and Staff-level individual contributors Senior engineer-level technical depth - you can read the code, challenge a design, and hold your own in an architecture discussion Hands-on background in backend engineering; experience with Ruby, Go, or comparable languages and distributed systems Demonstrated ability to operate under ambiguity: defining direction where none exists, and committing to decisions before all the information is available Track record of shipping complex software on schedule in a fast-moving environment Experience managing a fully remote, distributed team across multiple time zones Strong written communication - in an async environment, writing is the primary management tool Nice to Have Experience building AI-powered products - agents, LLM pipelines, or orchestration systems Background in platform, integration, or developer-facing infrastructure Experience scaling a team through periods of rapid growth Familiarity with enterprise SaaS or automation platforms (REQ ID: 2941)

Location: Mapbox UK Workplace: Remote Mapbox is the leading real-time location platform for a new generation of location-aware businesses. Mapbox is the only platform that equips organizations with the full set of tools to power the navigation of people, packages, and vehicles everywhere. More than 4 million registered developers have chosen Mapbox because of the platform’s flexibility, security and privacy compliance. Organizations use Mapbox applications, data, SDKs and APIs to create customized and immersive experiences that delight their customers.  As AI becomes embedded in modern engineering workflows, we value engineers who can thoughtfully integrate AI into design, development, and decision-making. Our interview process will include discussion of how you use AI in your engineering workflow. WHAT YOU'LL DO This role is scoped by skill rather than by product. The problems below span multiple departments and show up across our Search and Places data work, our Location and Navigation Intelligence work, and the Platform work that makes Mapbox usable by agents. You'll be hired into one specific team or product area, but you'll work across teams where your expertise meets the highest-priority AI problems. You should expect to move between teams and tech stacks as the work demands. At this level you own the technical design and delivery of a multi-component AI system, and you are accountable for the quality of what ships in your area. IN THIS ROLE, YOU WILL: - Define how the products you own should work, build a measurement framework for it, and build evaluation systems for non-deterministic behavior. Formulate hypotheses around the products we build and seek the signal needed to validate them. Define what a correct result is for a given input and state, determine whether to assemble datasets from real usage or hand-written cases, and gate changes on regression results. - Run continuous evaluation of the products we build, whether APIs, SDKs, data representations, or reference applications, from the position of the end user, whether developer, agent, or consumer. Assess the gaps such as misuse of parameters or integration anti-patterns, recommend the fixes, and make sure they land. - Own the MVP against an agreed north star technical design, and balance technical perfection against shipping useful increments. - Build data pipelines and the tooling around them: ingestion, conflation, entity resolution, quality checks, and the batch and streaming jobs that keep a large dataset current. - Track and pull external datasets, models, and benchmarks from published research and open-source releases. Evaluate what fits the problem and constraints , and decide when to adopt what exists versus build your own. - Design feedback loops so that using a product generates data that improves it. Instrument systems so failures arrive with enough context to reproduce, then turn the recurring ones into evaluation cases. - Design the boundary between a model and the tools it calls. Build or improve the model harness, decide what the model handles, what it delegates, and how to keep it working from the state it actually fetched. - Work to a latency and cost target per request: streaming, partial results, caching, model routing, prompt structure. - Build the internal harnesses and tools (CLI, MCP, and others) your team needs to iterate quickly, and share the parts that generalize with other teams. - Raise the bar on your team through code and design review, and bring other engineers up on eval practice. - Some of the technical questions in this area are still open. You will help answer them. - Participate in an on-call rotation to ensure our systems remain available to customers 24/7. Team members alternate as the on-call primary responder, which may require immediate response outside normal working hours, including weekends. WHAT WE BELIEVE ARE IMPORTANT TRAITS FOR THIS ROLE - Bachelors degree in STEM discipline and 5+ years of software engineering experience, with production ownership of services, pipelines, or SDKs. - 2+ years shipping LLM-backed features to real users, in systems that carried error budgets, on-call rotations, and customers who noticed regressions. - Direct experience or deep understanding of designing evaluations for non-deterministic systems. You can describe a dataset you built and the failure it caught. - Data engineering depth: SQL, at least one distributed processing framework, and experience with pipelines where a wrong record mattered more than a slow one. - Fluency with tool calling and agent orchestration, including the failure modes: stale context, hallucinated arguments, silent partial success, unbounded loops. - Working knowledge of more than one agent harness, and opinions about where each of them is weak. - Strong Python or TypeScript, and comfort reading code in whatever language the caller happens to be written in. - Experience diagnosing latency in a distributed request path. - Comfort with ambiguity, and the judgment to ship something narrow that works while the general solution is still unclear. - Clear written communication. Mapbox is distributed across time zones and we make most decisions in documents and Slack. NICE TO HAVE TRAITS FOR THIS ROLE - Geospatial data experience: routing, geocoding, POI or address data, OpenStreetMap, or conflation of overlapping sources. - Public API or SDK design experience, particularly for developers you never talk to. - Experience building against MCP or similar tool transports. - Experience running evals in CI, with a commercial harness or one you built. - Automotive, in-vehicle infotainment, CarPlay, or Android Auto experience. - Voice pipeline experience: streaming ASR, TTS, barge-in, endpointing, wake word. - Work under constrained compute, offline, or intermittent connectivity. - Experience operating a product through its first external integrations, where the customer finds the gaps before you do. WHAT WE VALUE In addition to our core values https://www.mapbox.com/about/values/, which are not unique to this position and are necessary for Mapbox leaders: - We value high-performing creative individuals who dig into problems and opportunities. - We believe in individuals being their whole selves at work. We commit to this through supportive health care, parental leave, flexibility for the things that come up in life, and innovating on how we think about supporting our people. - We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company. - We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply.   HOW WE SUPPORT YOU - Hybrid/Remote Options: Enjoy flexibility to work comfortably from home or periodically from an office where applicable. - Country-Specific Care & Coverage: Private health, dental, and income protection plans tailored to elevate your regional statutory benefits. - Family-First Support: Family care, maternity and paternity leave policies to support your growing family. - Lifestyle Spending Account: Contributions to support your health, wellness, and personal growth - Balance & Brainpower: Mental health support for you and your dependents. - Rest & Recharge: Paid time away, company holidays, and generous absence policies. - Time Off to Give Back: Dedicated paid volunteering time in addition to your standard PTO. By applying for this position, you acknowledge that you have received the Mapbox Non-US Privacy Notice https://www.mapbox.com/legal/applicant-privacy-notice/ for applicants, which is linked here. Completing this application requires you to provide personal data, such as your name and contact information, which is mandatory for Mapbox to process your application. We are committed to a fair and equitable hiring process. We do not discriminate against any protected class. #LI-Remote

Location: Mapbox Germany Workplace: Remote Mapbox is the leading real-time location platform for a new generation of location-aware businesses. Mapbox is the only platform that equips organizations with the full set of tools to power the navigation of people, packages, and vehicles everywhere. More than 4 million registered developers have chosen Mapbox because of the platform’s flexibility, security and privacy compliance. Organizations use Mapbox applications, data, SDKs and APIs to create customized and immersive experiences that delight their customers.  As AI becomes embedded in modern engineering workflows, we value engineers who can thoughtfully integrate AI into design, development, and decision-making. Our interview process will include discussion of how you use AI in your engineering workflow. WHAT YOU'LL DO This role is scoped by skill rather than by product. The problems below span multiple departments and show up across our Search and Places data work, our Location and Navigation Intelligence work, and the Platform work that makes Mapbox usable by agents. You'll be hired into one specific team or product area, but you'll work across teams where your expertise meets the highest-priority AI problems. You should expect to move between teams and tech stacks as the work demands. At this level you own the technical design and delivery of a multi-component AI system, and you are accountable for the quality of what ships in your area. IN THIS ROLE, YOU WILL: - Define how the products you own should work, build a measurement framework for it, and build evaluation systems for non-deterministic behavior. Formulate hypotheses around the products we build and seek the signal needed to validate them. Define what a correct result is for a given input and state, determine whether to assemble datasets from real usage or hand-written cases, and gate changes on regression results. - Run continuous evaluation of the products we build, whether APIs, SDKs, data representations, or reference applications, from the position of the end user, whether developer, agent, or consumer. Assess the gaps such as misuse of parameters or integration anti-patterns, recommend the fixes, and make sure they land. - Own the MVP against an agreed north star technical design, and balance technical perfection against shipping useful increments. - Build data pipelines and the tooling around them: ingestion, conflation, entity resolution, quality checks, and the batch and streaming jobs that keep a large dataset current. - Track and pull external datasets, models, and benchmarks from published research and open-source releases. Evaluate what fits the problem and constraints , and decide when to adopt what exists versus build your own. - Design feedback loops so that using a product generates data that improves it. Instrument systems so failures arrive with enough context to reproduce, then turn the recurring ones into evaluation cases. - Design the boundary between a model and the tools it calls. Build or improve the model harness, decide what the model handles, what it delegates, and how to keep it working from the state it actually fetched. - Work to a latency and cost target per request: streaming, partial results, caching, model routing, prompt structure. - Build the internal harnesses and tools (CLI, MCP, and others) your team needs to iterate quickly, and share the parts that generalize with other teams. - Raise the bar on your team through code and design review, and bring other engineers up on eval practice. - Some of the technical questions in this area are still open. You will help answer them. - Participate in an on-call rotation to ensure our systems remain available to customers 24/7. Team members alternate as the on-call primary responder, which may require immediate response outside normal working hours, including weekends. WHAT WE BELIEVE ARE IMPORTANT TRAITS FOR THIS ROLE - Required Education/Certification: - Bachelors Degree in STEM discipline and 5+ years of software engineering experience, with production ownership of services, pipelines, or SDKs. - Technical Skills & Tools (Must-Haves): - 2+ years shipping LLM-backed features to real users, in systems that carried error budgets, on-call rotations, and customers who noticed regressions. - Data engineering depth: SQL, at least one distributed processing framework, and experience with pipelines where a wrong record mattered more than a slow one. - Fluency with tool calling and agent orchestration, including the failure modes: stale context, hallucinated arguments, silent partial success, unbounded loops. - Strong Python or TypeScript, and comfort reading code in whatever language the caller happens to be written in. - Core Competencies & Scope: - Direct experience or deep understanding of designing evaluations for non-deterministic systems. You can describe a dataset you built and the failure it caught. - Working knowledge of more than one agent harness, and opinions about where each of them is weak. - Experience diagnosing latency in a distributed request path. - Comfort with ambiguity, and the judgment to ship something narrow that works while the general solution is still unclear. NICE TO HAVE TRAITS FOR THIS ROLE - Geospatial data experience: routing, geocoding, POI or address data, OpenStreetMap, or conflation of overlapping sources. - Public API or SDK design experience, particularly for developers you never talk to. - Experience building against MCP or similar tool transports. - Experience running evals in CI, with a commercial harness or one you built. - Automotive, in-vehicle infotainment, CarPlay, or Android Auto experience. - Voice pipeline experience: streaming ASR, TTS, barge-in, endpointing, wake word. - Work under constrained compute, offline, or intermittent connectivity. - Experience operating a product through its first external integrations, where the customer finds the gaps before you do. EMPLOYMENT REQUIREMENTS - Employment Type: Full-time - Weekly Hours: 40 h per week - Location/Hybrid Policy: Remote (from any city in Germany) WHAT WE VALUE In addition to our core values https://www.mapbox.com/about/values/, which are not unique to this position and are necessary for Mapbox leaders: - We value high-performing creative individuals who dig into problems and opportunities. - We believe in individuals being their whole selves at work. We commit to this through supportive health care, parental leave, flexibility for the things that come up in life, and innovating on how we think about supporting our people. - We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company. - We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply.   HOW WE SUPPORT YOU - Hybrid/Remote Options: Enjoy flexibility to work comfortably from home or periodically from an office where applicable. - Country-Specific Care & Coverage: Private health, dental, and income protection plans tailored to elevate your regional statutory benefits. - Family-First Support: Family care, maternity and paternity leave policies to support your growing family. - Lifestyle Spending Account: Contributions to support your health, wellness, and personal growth - Balance & Brainpower: Mental health support for you and your dependents. - Rest & Recharge: Paid time away, company holidays, and generous absence policies. - Time Off to Give Back: Dedicated paid volunteering time in addition to your standard PTO. By applying for this position, you acknowledge that you have received the Mapbox Non-US Privacy Notice https://www.mapbox.com/legal/applicant-privacy-notice/ for applicants, which is linked here. Completing this application requires you to provide personal data, such as your name and contact information, which is mandatory for Mapbox to process your application. We are committed to a fair and equitable hiring process. We do not discriminate against any protected class. #LI-Remote

Location: Remote, Canada; Remote, Poland; Remote, United Kingdom; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. About the role We are looking for a Principal Engineer to help build GitLab Duo Agent Platform, the agentic orchestration layer that runs AI agents and flows across the entire software lifecycle. Principal Engineers at GitLab are recognized experts across multiple technology domains and represent the senior technical leadership within their organization. In this role you will set technical direction for a significant part of the Agent Platform, working across several teams to turn agentic capabilities into something engineering organizations can actually depend on: predictable, observable, governable, and fast enough to sit in the critical path of real development work. The Agent Platform is not a single service. It spans agent execution and orchestration, flow definition and event-driven triggering, the AI Catalog through which customers discover and manage agents, model routing and evaluation, and the governance surface that decides which agents may act where and under whose identity. It runs on GitLab.com, GitLab Dedicated, and Self-Managed installations, including deployments that use self-hosted models to meet compliance requirements. You will work on the parts of that system where the hard architectural questions live, and you will do it hands-on. This role reports into the VP of the AI Engineering organization and works closely with Engineering Managers, Staff Engineers, Product Management, Infrastructure and Security. What you'll do Define the technical direction for a significant area of Duo Agent Platform across several teams, and partner with Engineering Managers and Product to turn it into a roadmap with a six-month horizon. Build the orchestration layer that makes agents and flows reliable: session lifecycle, tool invocation, context assembly, concurrency, retries, timeouts, and failure modes that degrade gracefully instead of stalling a developer's workflow. Hands on work on driving topics throughout the whole organisation from POC level, architecture to full implementation. Participate in Incident Management on-call rotation, to help meet availability goals for GitLab.com. Strong product builder and ownership mentality. Understanding of product strategy, technical strategy, delivering customer value and iteration towards a successful product Write clear, opinionated design documents, architecture narratives, and decision records that let other teams make aligned decisions. Ensure the architecture holds across multi-tenant GitLab.com, Dedicated, and Self-Managed deployments, including self-hosted model configurations, and respects data governance boundaries in each. Use the platform on our own work, find where it falls short of what we claim, and feed that back through improvements into the product. Mentor Staff and Senior Engineers, and raise the bar for experimentation rigor and cross-team collaboration. Work across the whole platform on different projects, features and teams. This reaches across: Design the extensibility surface so customers can build custom agents and flows, connect their own tools and internal systems, and bring external agents such as Claude Code and Codex into GitLab workflows without weakening the platform's guarantees. Drive down the cost and latency of agentic requests, and work with Product on how model selection, routing, and credit consumption behave as usage grows. Define the evaluation practice for the platform: offline benchmarks and online experiments that measure task completion, correctness, tool-call accuracy, latency, and cost per task, and that catch regressions before customers do. Build the governance and safety surface with Security and Compliance: policy-driven controls over which agents and models may run where, permission and identity semantics that align to existing roles and group structure, human-in-the-loop checkpoints, traceability of every flow session, and audit that stands up to enterprise review. Complete Interview Training and participate in hiring for the department as a technical interviewer or panel member. Take part in on-call or operational support where your team’s ownership model requires it. What you'll bring 8+ years of software engineering experience, including 3+ years at Staff, Principal level or equivalent senior technical leadership. Hands-on production experience building on large language models: agent loops, tool calling, context management, retrieval, prompt and model evaluation. Experience shipping this to real users, not only prototyping it. Strong background in distributed systems, including service decomposition, fault tolerance, observability, and operational resilience under multi-tenant load. A track record of defining evaluation frameworks and using benchmark and experiment results to make architecture decisions, rather than shipping on intuition. Experience designing human-in-the-loop controls, safety guardrails, and responsible AI practices for systems that act on a customer's behalf. Ability to drive alignment across Engineering, Product, Infrastructure, and Security on problems that start out ambiguous. Experience mentoring senior engineers and shaping technical direction across multiple teams without direct authority. Comfort working in one or more of Ruby, Go, Python, or TypeScript, and willingness to work across the stack the platform spans. Excellent written and asynchronous communication, and the ability to work effectively in a fully remote, globally distributed organization. About the team The AI engineering organisation is building the product and infrastructure that make GitLab an effective environment for running agents across the software development lifecycle. We’re distributed across the world and partner with teams throughout GitLab to help the GitLab Duo Agent Platform become the backbone of GitLab's AI features. You will report directly to the VP of Engineering for AI and especially work together with all the teams, the engineering management and other principal engineers in the AI department. This is an opportunity to lead a consequential group as AI changes how software is built. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $250,000 — $325,000 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Работа в гибридном формате: около 1–2 дней в месяц в офисе в Wallingford, Великобритания.