AI-инженер (LLM, агенты, AI product) вакансии

— Design and implement production-grade multi-agent systems, including orchestration, routing, memory, tool execution, and fallback strategies. — Build multimodal AI workflows and integrate multiple model providers.

What You’ll Bring Experience training or fine-tuning video or related generative models. What You’ll Work On Real-time and streaming generation.

Задачи: стратегия и архитектура LLM, внедрение и масштабирование моделей, управление командой инженеров, обеспечение безопасности и интеграция AI-решений в бизнес-процессы.

Mistral is looking for an Applied AI Technical Lead Forward Deployed AI Engineer to lead enterprise AI solution delivery and customer deployments.

Много работы с ИИ, графикой, видео. знания современных пайп-лайнов.

Задачи: — создавать карты персонажей, локации и ассенты — делать анимацию в Seedance 2.0/2.5, Kling AI и аналогах — писать и оптимизировать промпты в Codex и/или Claude — управлять через промпты кадрами и сценой — самостоятельно вести полный цикл — работать в команде под руководством штатных лидов, продюсеров и супервайзеров Требования: — умение разбираться в игровом контенте — понимание как собрать сцену, контролировать игру персонажей, положение и движение камеры, свет, пластику и базовые принципы монтажа — портфолио с примерами изображений, анимации и/или видео на AI — смонтированный игровой материал с понятным повествованием, а не просто набор шотов — практический опыт и умение работать в Seedance 2.0/2.5 и Kling AI на высоком уровне — понимание архитектуры Codex и/или Claude и базовые скиллы для промптинга — умение смотреть на контент как творец: сцена, движение, камера, свет, стиль, монтаж — внимательность, самостоятельность, умение работать в команде, готовность к обучению — готовность выполнить тестовое задание Условия: — проектная работа Контакт для отклика: Телеграм: @yulijuli2001

Задачи: — Участвовать в художественной разработке проекта: создавать и дорабатывать визуальные референсы, карты персонажей и локаций, помогать формировать единый облик мира сериала. — Работать с отснятым материалом и референсами, выстраивать процесс генерации сцен. — Добиваться убедительного фотореализма: естественных фактур, проработанного света, цвета, глубины резкости, зерна и т.д. — Превращать съёмку актёров в грейруме в сцены кинематографического качества, сохраняя актёрскую игру, действия и расположение персонажей. Требования: — Опыт создания не менее двух минут связного материала на основе актёрской съёмки. — Наличие нескольких планов, складывающихся в цельную сцену или сцены, с сохранением облика персонажей и качества изображения на всём протяжении. — Обязательно владение Premiere Pro или DaVinci Resolve. — Рассматриваются специалисты, работающие в Final Cut Pro X. — Опыт работы с ИИ-агентами, например Codex или Claude, понимание устройства скиллов, умение применять их в производственном процессе, а при необходимости создавать и дорабатывать собственные. Условия: — Работа в штате, очно в офисе в центре Москвы. — Удалённый формат не предусмотрен. — График 5/2, с 10:00 до 19:00. — Уровень заработной платы обсуждается по итогам собеседования с учётом опыта и представленной работы. Как откликнуться: — Написать в Telegram: @igorvandik https://t.me/igorvandik. — В первой строке сообщения указать: «ИИ-дженералист — работа с актёрскими референсами». — Прислать одну работу, содержащую не менее двух минут связного финального материала, показать исходную актёрскую съёмку и созданную на её основе генеративную сцену, желательно оформить сравнение рядом или в формате «окно в окне». Также рассматриваются специалисты по другим направлениям: — 3D-блокинг: прислать работу с финальным материалом не менее двух минут, показать сравнение блокинга и результата, первая строка отклика: «ИИ-дженералист — 3D-блокинг». — Фулл ИИ: создавать полностью генеративные фотореалистичные сцены длительностью не менее трёх минут, первая строка отклика: «ИИ-дженералист — фулл ИИ». — ИИ-анимация: создавать цельные анимационные работы, воспринимающиеся как качественный 3D-мультфильм, важны выразительные персонажи, осмысленное действие и последовательный визуальный стиль, первая строка отклика: «ИИ-дженералист-аниматор». Для всех направлений: — Написать пару слов о себе и своём опыте, указать роль в представленной работе и оставить номер телефона. — Приложить ссылку на один конкретный кейс по выбранному направлению, а не на общее портфолио. — При отклике на несколько направлений отправить отдельное сообщение по каждому с соответствующим заголовком и одной релевантной работой.

📌 Разработка инструментов для агентов и интеграций с корпоративными системами (1С, почта, файловые ресурсы). 📌 Обработка документов: договоры, счета, таблицы.

Основная задача — создавать на основе съёмки актёров в грейруме полностью генеративные сцены кинематографического качества. Premiere Pro или DaVinci.

AI Consultant to help enterprises identify, design, and launch high-value AI agents with measurable outcomes.

AI Consultant to help enterprises identify, design, and launch high-value AI agents with measurable outcomes. Sitting at the intersection of business consulting, AI strategy, and solution design, you'll be a trusted advisor to our customers — driving their AI strategies, creating AI adoption roadmaps, and designing AI agent concepts and specifications.

Runway is looking for a Prototype Researcher to design and build experimental AI experiences, prototypes, and demonstrations that communicate emerging research capabilities.

под руководством ментора разрабатывать и поддерживать оркестрацию агентов на LangGraph: реализовывать узлы графа, работать с состоянием и условными переходами. писать и улучшать скиллы и инструменты (tools) для агента: интеграция с внешними HTTP API, валидация результатов по JSON Schema, простые ReAct-подграфы.

Управлять командой DS и MLE: управлять бэклогом, развивать компетенции, проводить найм и растить сотрудников; Формировать стратегию и дорожную карту развития AI-решений для Управления зарплатных проектов;

Location: Remote; Seattle, WA; London; New York, NY; San Francisco, CA Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. WHY THIS MATTERS Runway is building AI to simulate the world. We think world models, not language models alone, are the path to general-purpose simulation: systems that experience the world, learn from their mistakes, and change how stories get told, how science gets done, and how the next frontiers of humanity are reached. Applied AI is where that research meets a customer with a deadline. Every one of the world's largest studios, brands, and platforms hits a moment where Runway stops being a demo and becomes the way they actually make things. Our team exists for that moment, and we organize around one question: what's blocking this customer from production, and how do we remove it? ABOUT THE ROLE This is a role for people who want to own a problem, not an account. You'll sit with the biggest studios, brands, and Fortune 100 companies in the world, figure out what's actually standing between them and production, and build whatever removes it. Some weeks that's a workflow. Some weeks it's a plugin or an integration nobody has written yet. Some weeks it's getting a room of executives to make a decision they've been putting off. Your work will be on screen: Emmy-winning shows, Oscar-winning films, Super Bowl commercials, the stuff people actually watch. And the things you build for one customer tend to become product for all of them. Our team's first Shopify plugin started as a customer blocker and was in engineering's hands within a few weeks. We treat this team as R&D for that reason, not as a cost center. We have offices in NYC, San Francisco, Seattle, and London. NO TWO WEEKS ARE THE SAME, BUT YOU CAN EXPECT TO: - Find the real problem: sit with the creative, technical, and executive teams at a customer, map how they actually work, and locate the blocker between them and production. Usually it's one of three things: a missing integration, an unproven pipeline, or a stakeholder who isn't convinced yet. - Build the first of its kind: the demo that shows a studio head or a Fortune 100 CMO something nobody has shown them before. Working proofs of concept on the customer's own brand, footage, or catalog, often built in a day or two before the meeting, and the best of them become product for everyone. - Make it reusable: turn the one-off that unblocked one customer into the workflow, plugin, or integration the next ten customers start from. - Run the evaluation: own evaluation plans end to end, guide managed trials, build tailored demos on the customer's own footage and brand, and carry the technical side of deal cycles with AEs. - Scope deployments that land: 4–12 week engagements with customer-defined success criteria, a hands-on builder and an executive sponsor on their side from day one, and enough discipline to keep them on scope when the asks start piling up. - Get customers to production fast: take new technical and non-technical customers from signed contract to first production call in days rather than quarters, grow API-only accounts into Platform + API, and fix the onboarding so the support tickets stop coming. - Present to anyone: walk an analyst through a pipeline in the morning and a studio head through a production plan in the afternoon. - Bring the field back to the product: embed with Product, Engineering, and Creative to turn what you saw at the customer into roadmap. Every repeat ask is a product requirement, not a patch. - Measure what the customer measures: time to production, usage before and after a project, what they shipped because you were there. We track our own numbers in Salesforce and the warehouse; you'll own yours. WHAT WE VALUE - People who aren't satisfied with surface-level answers and will go into the data, the code, and the room to find the real one - Low ego: the customer's outcome matters more than who gets the credit - Comfort with open-ended problems in unstructured environments, and the instinct to create structure instead of waiting for it - Builders who would rather prototype than debate, and who keep iterating with the customer until it actually works - Adaptive and introspective: willing to learn, guide, lead, and follow WHAT WE NEED - You build things that run in production. Python or TypeScript, APIs, integrations, and data pipelines. Whether you write the code yourself or with coding agents, you can read it, debug it when it breaks, and explain line by line why it's built that way, including to a customer's engineering team. You've shipped something a customer actually ran: a workflow, an integration, a plugin, or an internal tool. - You've deployed AI or ML systems and integrations inside complex organizations and can point to the outcome, not just the delivery - You can hold a room of executives and a room of engineers, and translate between the two. Some of those rooms are at the customer, so expect some travel. - Nice to have: data tooling (SQL, BigQuery, Retool), or experience in media, entertainment, or advertising production Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Aleph Alpha is looking for Senior AI Researchers to develop and evaluate post-training methods that reduce LLM hallucinations and improve reliability.

Location: Rio de Janeiro or São Paulo, Brazil Why Join Exadel We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next. What powers it all? Our people are ambitious, collaborative, and constantly evolving. About the Client A leading global digital banking platform and one of the largest neobanks in Latin America, headquartered in Brazil. The company provides a mobile-first suite of financial services—including credit cards, savings accounts, and investments—designed to eliminate bureaucracy and high fees. By leveraging advanced data analytics and a customer-centric digital infrastructure, the organization delivers transparent and accessible financial solutions to millions of users across Brazil, Mexico, and Colombia. What You’ll Do Design, implement, and maintain cloud infrastructure using Infrastructure as Code Support the platform architecture across private networking, containers, edge and CDN services, managed storage, IAM, and security boundaries Develop and maintain CI/CD pipelines, including federated identity, access controls, and separation between read and write operations Implement platform observability, monitoring, alerting, and operational dashboards Establish secrets-management and rotation processes Develop disaster-recovery, resilience, and business-continuity capabilities Build and maintain serverless functions and infrastructure automation using Python Establish security guardrails and operational standards for a multi-tenant development platform Collaborate with AI engineering teams to integrate agent capabilities and automated deployment workflows Support ephemeral cloud environments used for AI-powered application development Improve production readiness through documented, reviewable, and reversible infrastructure changes Troubleshoot complex platform issues and conduct root-cause analysis Take end-to-end ownership of platform stability, reliability, and operational performance Identify opportunities to reduce deployment friction and improve the developer experience Contribute to the continuous improvement of platform architecture, tooling, security, and operations What You Bring Experience designing, implementing, and operating cloud-native infrastructure within a public cloud environment Hands-on experience using Infrastructure as Code in production environments Experience with Go or Go-based infrastructure tooling Understanding of cloud networking, private networks, firewalls, containers, edge and CDN services, managed storage, and IAM Experience building and maintaining CI/CD pipelines, preferably using GitHub Actions Knowledge of federated identity, authorization policies, least-privilege access, and secrets management Experience implementing observability, monitoring, alerting, and disaster-recovery strategies Proficiency in Python for infrastructure automation, serverless functions, or supporting services Experience supporting multi-environment architectures and production-grade platforms Understanding of platform security, resilience, scalability, and operational reliability Strong troubleshooting and root-cause analysis skills Strong written communication and technical documentation skills Professional English proficiency Ability to work effectively in ambiguous environments, make sound technical decisions, and take ownership of outcomes Nice to have Experience operating multi-tenant platforms for internal enterprise users Knowledge of cloud-security guardrails and software supply-chain security Experience with on-call operations, incident management, and production reliability Familiarity with AI-powered development platforms Exposure to agent-based engineering and deployment workflows Experience designing infrastructure to reduce blast radius and isolate failures Knowledge of controlled deployment, rollback, and change-management practices Experience supporting developer platforms or internal platform-engineering products English level Upper-Intermediate Work Type: Remote Location Requirement: Candidates must be based in São Paulo or Rio de Janeiro Legal & Hiring Information Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more Reasonable accommodations are available to enable individuals with disabilities to perform essential functions Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs Compensation details are shared with candidates at the early stage of the recruitment process. The offer is not binding until a signed contract is in place. Your Benefits at Exadel Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details. International projects In-office, hybrid, or remote flexibility Medical healthcare Recognition program Ongoing learning & reimbursement Well-being program Team events & local benefits Sports compensation Referral bonuses Top-tier equipment provision Exadel Culture We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

Location: São Paulo or Rio de Janeiro, Brazil Why Join Exadel We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next. What powers it all? Our people are ambitious, collaborative, and constantly evolving. About the Client A leading global digital banking platform and one of the largest neobanks in Latin America, headquartered in Brazil. The company provides a mobile-first suite of financial services—including credit cards, savings accounts, and investments—designed to eliminate bureaucracy and high fees. By leveraging advanced data analytics and a customer-centric digital infrastructure, the organization delivers transparent and accessible financial solutions to millions of users across Brazil, Mexico, and Colombia. What You’ll Do Design, build, test, and maintain AI agent capabilities, including tools, skills, commands, and prompts Apply prompt-engineering techniques to improve agent accuracy, reliability, and usability Define structured output contracts, error-handling mechanisms, and evaluation methods for measuring agent behavior Develop extensions, plugins, and integrations for AI-powered development tools Build and maintain reusable application templates that establish consistent engineering standards across generated projects Develop developer-facing interfaces and internal tooling using React and TypeScript Improve the developer experience through actionable feedback, clear error messages, reliable defaults, and streamlined workflows Implement and maintain quality gates, including type checking, linting, automated testing, and build validation Apply containerization and runtime standards to support secure and consistent application development Collaborate with platform engineers to integrate AI capabilities with infrastructure, CI/CD pipelines, and deployment workflows Monitor platform usage, identify friction points, and continuously improve the experience based on observed behavior and user feedback Document technical decisions, agent behavior, platform capabilities, and development workflows Incorporate AI agents into daily engineering activities and identify opportunities to improve their effectiveness What You Bring A solid foundation in application architecture, software engineering, and modern development practices Hands-on experience designing and implementing AI agents, including tools, skills, commands, and prompt engineering Experience evaluating AI agent behavior systematically using defined criteria, test cases, and supporting evidence Experience with React and TypeScript, including modern frontend development patterns and build tooling Experience building reusable application templates, developer tools, internal platforms, or self-service engineering capabilities Knowledge of automated testing, type checking, linting, build validation, and software-quality practices Familiarity with containerization and application runtime environments Working knowledge of cloud infrastructure, CI/CD concepts, and application deployment workflows Strong technical English skills, including written documentation and remote collaboration Strong analytical and problem-solving abilities with excellent attention to detail Ability to work independently, navigate ambiguity, and take ownership of technical outcomes Interest in incorporating AI agents into everyday engineering workflows and continuously improving their performance Nice to have Experience developing plugins, extensions, or integrations for AI-powered development environments Experience using Python for supporting services, automation, or AI-related workflows Familiarity with enterprise application security, governance requirements, and engineering guardrails Experience designing structured agent interfaces, typed outputs, and robust error-handling mechanisms Understanding of cloud-native architectures, CI/CD pipelines, and production deployment practices Experience improving developer productivity through internal platforms, reusable templates, or self-service tooling Exposure to AI evaluation frameworks, observability, or agent performance monitoring English level Upper-Intermediate Work Type: Remote Eligible Locations: São Paulo or Rio de Janeiro, Brazil Legal & Hiring Information Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more Reasonable accommodations are available to enable individuals with disabilities to perform essential functions Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs Compensation details are shared with candidates at the early stage of the recruitment process. The offer is not binding until a signed contract is in place. Your Benefits at Exadel Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details. International projects In-office, hybrid, or remote flexibility Medical healthcare Recognition program Ongoing learning & reimbursement Well-being program Team events & local benefits Sports compensation Referral bonuses Top-tier equipment provision Exadel Culture We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.