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Location: Annapolis Junction, MD, United States Job Title Senior‑Level AI Engineer (Python) Why IDS? IDS believes in resolving conflict, building innovative approaches to do so. Combining operational expertise with an intimate understanding of today’s greatest challenges, we bring our customers the solutions required for success in a complex and multidimensional world. IDS tailors' solutions for a diverse range of government, military, nonprofit, and public‑sector clients. Locations Annapolis Junction, MD Shifts Available Please note, candidates must be flexible. Shift times are general hours; some projects may require earlier or later reporting based on customer requirements. Job Description IDS is seeking a Senior‑Level AI Engineer to support the AI and Emerging Technologies mission. The engineer will work closely with mission stakeholders to capture requirements, support structured planning, improve certification processes using AI/ML tooling, and develop AI‑enabled capabilities including fine‑tuning Large Language Models to enhance vulnerability identification and mitigation. Key Duties • Collaborate with technical leadership to design, develop, and maintain LLM orchestration frameworks • Integrate static analyzers, retrieval‑augmented generation (RAG) systems, and automated testing pipelines • Clean, transform, and vectorize documentation, source code, and test artifacts for LLM consumption • Design and implement database solutions to support RAG architectures, artifact storage, and audit trails • Work with systems engineers to architect and deploy networked AI tools within secure enclaves • Perform performance profiling, optimization, and scalability analysis of mission systems • Support security assessments and Authority to Operate (ATO) processes Requirements • Bachelor’s degree with eight (8) years of relevant experience, or Master’s degree with six (6) years, or Doctoral degree with four (4) years • Associate’s degree with ten (10) years of clearly related experience may be considered • Degree in Computer Science or a related field with substantial coursework in algorithms, data structures, programming languages, computer architecture, logic, and advanced mathematics • Proficiency in Python and AI/ML integration • Experience with LLMs, static analyzers, RAG frameworks, and relational and vector databases • Familiarity with Agile methodologies and tools such as Git, Jira, and Confluence • Relevant experience across the software development lifecycle • Active TS/SCI with Polygraph Compensation • Salary range: $155,000 – $175,000 • Benefits

Location: Annapolis Junction, MD, United States Job Title Mid‑Level AI Engineer (Python) Why IDS? IDS believes in resolving conflict, building innovative approaches to do so. Combining operational expertise with an intimate understanding of today’s greatest challenges, we bring our customers the solutions required for success in a complex and multidimensional world. IDS tailors solutions for a diverse range of government, military, nonprofit, and public‑sector clients. Locations Annapolis Junction, MD Shifts Available Please note, candidates must be flexible. Shift times are general hours; some projects may require earlier or later reporting based on customer requirements. Job Description IDS is seeking a Mid‑Level AI Engineer to support the AI and Emerging Technologies mission. The engineer will work closely with mission stakeholders to capture requirements, support structured planning, improve certification processes using AI/ML tooling, and develop AI‑enabled capabilities including fine‑tuning Large Language Models to enhance vulnerability identification and mitigation. Key Duties • Collaborate with technical leadership to design, develop, and maintain LLM orchestration frameworks • Integrate static analyzers, retrieval‑augmented generation (RAG) systems, and automated testing pipelines • Clean, transform, and vectorize documentation, source code, and test artifacts for LLM consumption • Design and implement database solutions supporting RAG architectures, artifact storage, and audit trails • Work with systems engineers to architect and deploy networked AI tools within secure enclaves • Perform performance profiling, optimization, and scalability analysis of mission systems • Support security assessments and Authority to Operate (ATO) activities Requirements • Bachelor’s degree with five (5) years of relevant experience, or Master’s degree with three (3) years, or Doctoral degree with no required experience • Associate’s degree with seven (7) years of clearly related experience may be considered • Degree in Computer Science or a related field with substantial coursework in algorithms, data structures, programming languages, computer architecture, and mathematics • Proficiency in Python and AI/ML integration • Experience with LLMs, static analyzers, RAG frameworks, and relational or vector databases • Familiarity with Agile development and tools such as Git, Jira, and Confluence • Relevant experience across the software development lifecycle • Active TS/SCI with Polygraph Compensation • Salary range: $105,000 – $125,000 • Benefits

Задачи: — Работа на платформе PlatformEco (Node.js + SQL) — Построение интеграций с внутренними и внешними продуктами — Участие в стратегических решениях по архитектуре Требования: — Высшее техническое образование (ИТ, математика, физика, кибернетика) — Опыт разработки ИИ агентов — 5+ лет в разработке, из них 2+ года в роли Tech Lead / Team Lead команды 4–7 разработчиков (код-ревью, менторство, декомпозиция задач, участие в найме) — Реальный продакшн-опыт на одном из стеков: Node.js, Python, .NET, Java, SQL — Глубокий практический опыт построения интеграций: Event-driven архитектура (Kafka / RabbitMQ / аналоги), API Gateway, маршрутизация, rate limiting, идемпотентность, retry/backoff, обработка ошибок, саги, проектирование асинхронных систем с гарантиями доставки — Опыт работы с low-code/no-code платформами — Опыт работы в крупной корпоративной организации (5000+ сотрудников) — Понимание архитектурных паттернов: микросервисы, CQRS, Event Sourcing, Hexagonal Architecture, DDD — Проактивность — Переговорные навыки без формальной власти — Баланс «играющий тренер / лидер» — Устойчивость к корпоративной бюрократии — Прозрачная коммуникация Будет плюсом: — Рабочее понимание RAG, LLM, MCP — Опыт в страховой / финансовой / корпоративной среде — Готовность развиваться в сторону AI-агентов и автономных систем Условия: — Условия работы не указаны Контакт для отклика: @irinaalekseevnashi

Задачи: — Работать на платформе PlatformEco (Node.js + SQL) — Строить интеграции с внутренними и внешними продуктами — Участвовать в стратегических решениях по архитектуре Требования: — Высшее техническое образование (ИТ, математика, физика, кибернетика), фундаментальная база критична — Опыт разработки ии агентов — 5+ лет в разработке, из них 2+ года в роли Tech Lead / Team Lead команды 4–7 разработчиков (код-ревью, менторство, декомпозиция задач, участие в найме) — Реальный продакшн-опыт на одном из стеков: Node.js, Python, .NET, Java, SQL (не просто знание, а опыт написания, деплоя и поддержки) — Глубокий практический опыт построения интеграций: Event-driven архитектура (Kafka / RabbitMQ / аналоги), API Gateway, маршрутизация, rate limiting, идемпотентность, retry/backoff, обработка ошибок, саги — Проектирование асинхронных систем с гарантиями доставки — Опыт работы с low-code/no-code платформами, способность быстро адаптироваться к PlatformEco — Опыт работы в крупной корпоративной организации (5000+ сотрудников) с бюрократией, согласованиями, ресурсными конфликтами и кросс-функциональными зависимостями — Понимание архитектурных паттернов: микросервисы, CQRS, Event Sourcing, Hexagonal Architecture, DDD — Проактивность, переговорные навыки без формальной власти, баланс между ролью тренера и лидера, устойчивость к корпоративной бюрократии, прозрачная коммуникация Будет плюсом: — Рабочее понимание RAG, LLM, MCP с практическим опытом встраивания AI-решений в корпоративный ландшафт — Опыт в страховой, финансовой или корпоративной среде с пониманием compliance, безопасности, интеграции с legacy-системами — Готовность развиваться в сторону AI-агентов и автономных систем Условия: — Локация: Россия (удалённо / гибрид) — Зарплата обсуждается по итогам собеседования

Location: Санкт-Петербург Команда ИИ-Помощник развивает два направления в рамках программы «Миграция с SAP»: 1. Миграция отчетности с SAP на целевую платформу. Наша команда бизнес-аналитиков и дата-инженеров обеспечивает перенос отчетности для всех продуктовых команд, которые участвуют в программе миграции. Мы работаем с бизнес-требованиями, занимается коммуникациями с внешними потребителями и непосредственно разрабатываем ETL-процессы, витрины и отчетные формы. 2. AI-агентизация бизнес-процессов. В рамках данного направления наша команда создает no-code конструктор ai-помощников/ai-агентов и мультиагентных систем, а также занимается внедрением кастомных ai-агентов с использованием LLM. Команда использует современные общепринятые технологии, библиотеки и подходы для реализации указанных задач – python, LangChain, LangGraph, RAG. В конечном итоге, эти два направления должны объединиться в реализованной мультиагентной системе, которая может самостоятельно планировать свою работу, исходя из задачи и доступных ей инструментов, принимать решения, извлекать необходимые для этого данные напрямую из баз и хранилищ данных и влиять на внешний мир с помощью вызова API смежных информационных систем и других мультиагентных систем. Обязанности * исследование бизнес-процессов и клиентских путей, подлежащих автоматизации * взаимодействие с заказчиком с целью сбора информации, формирование бизнес-требований * проработка и согласование требований к АС и интеграций со смежными системами * декомпозиция бизнес-требований на бэклог задач для разработки * подготовка технической документации для функционала системы и интеграционных интерфейсов * участие в принятии архитектурных решений в тестировании, приёмке и внедрении системы * взаимодействие с разработчиками и бизнес-заказчиком в формате Agile * осуществление архитектурного надзора над подрядчиком. Требования * подтвержденный опыт работы системным аналитиком от пяти лет * опыт участия в крупных проектах автоматизации полного цикла * знание нотаций моделирования бизнес-процессов * знания в области архитектуры приложений * умение моделировать клиентский путь * владение навыками сбора, анализа и описания требований * отличные навыки общения с заказчиком и разработчиками, развитые коммуникативные способности * понимание жизненного цикла разработки ПО, основные методологии разработки ПО (Waterfall, Agile) * опыт командной разработки с использованием Confluence, Jira * знание основных методологий разработки программного обеспечения (Agile, DevOps и т.п.) * знание основ баз данных, тестирования и развёртывания ПО * системное мышление, аналитический подход к решению задач, ориентация на результат * умение планировать собственную загрузку * оконченное высшее образование * навыки работы с генеративными AI-моделями; опыт создания AI-агентов и использования их в работе будет преимуществом * опыт использования GigaChat, Kandinsky и аналогов в продуктах, навыки создания и использования AI-агентов * инструментальное владение AI для анализа, генерации и автоматизации. Условия * ежегодный пересмотр зарплаты, квартальная и годовая премия (премия указывается в зависимости от должности и системы премирования) * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера.

Необходимо работать со всем стеком продукта - от React-интерфейса до Go/Python-бэкенда. 4+ года коммерческого опыта в full-stack-разработке.

Location: Москва Команда занимается разработкой «AI-помощника» - это проект с использованием LLM, который призван радикально улучшить клиентский опыт при при оформлении основных продуктов банка и помочь клиенту разобраться в продуктах. Обязанности * проведение исследовательского анализа данных (EDA) для выявления ключевых метрик и закономерностей, построение моделей. Data-driven подход к разработке * разработка и внедрение AI-агентов на базе LLM (SOTA open-source решения), в т.ч участие в создании и развитии RAG-систем (Retrieval-Augmented Generation) * работа с LLM: написание и оптимизация промптов (prompt engineering), управление взаимодействием с моделью * интеграция решений с корпоративными системами, обеспечение их взаимодействия * создание автономных бизнес-процессов в компании. Требования * опыт работы с Python и библиотеками: pytorch, pandas, numpy, SQLAlchemy, Scikit-learn, Matplotlib/Seaborn * писать поддерживаемый, читаемый код; участвовать в ревью, обсуждениях и формировании технических подходов * практический опыт в NLP: векторизация текста, классификация запросов, построение RAG-систем, дообучение языковых моделей, эмбеддингов и пр. * понимание классических алгоритмов ML * онимание методов обучения нейросетевых моделей (transfer learning, fine tuning) * навыки работы с Git, опыт интеграции решений в промышленные среды. Условия * офисный формат работы - офис на Кутузовской, сзонами отдыха и спортзалом; * годовой бонус и ежегодный пересмотр * социальный пакет (ДМС, страхование от несчастных случаев, льготное кредитование, подключение родственников к полису) * корпоративный университет Сбера, внутренняя образовательная платформа, участие в IT-конференциях * льготная ипотека в Сбере, корпоративная пенсионная программа, подписка СберПрайм+ с возможностью использования до трех близких, скидки от партнеров * материальная помощь при наступлении значимых событий в жизни; * дисконт-программы от компаний партнеров (фитнес, страхование, туризм) * подарки и мероприятия для детей сотрудников. Оздоровительные программы для детей сотрудников.

Location: Bengaluru Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey is redefining what’s possible in legal work by combining cutting-edge AI with intuitive product experiences. As we scale rapidly and take on increasingly complex use cases, we’re expanding our product engineering team to accelerate our ability to ship fast, delight users, and build infrastructure that scales with us. As a Senior Engineering Manager for Product Engineering, you’ll lead teams of backend engineers building the core product surfaces that lawyers and legal professionals use every day—from complex workflows and collaboration tools to elegant user interfaces powered by sophisticated backend systems. This role is equal parts product intuition and technical execution. You’ll be trusted to make fast, high-quality decisions, ship impactful features, and grow a team that embodies engineering excellence. We move with urgency, bias toward simplicity, and expect our leaders to be hands-on when needed. If you’re energized by ownership, decisive execution, and solving real user problems, we'd love to hear from you. WHAT YOU'LL DO - Lead engineers define, build, and drive the multi-quarter technical strategy for user-facing features across our product. - Collaborate closely with Design, Product, and AI teams to identify and execute on high-impact initiatives. - Help define and evolve the architecture for a fast-moving, AI-powered application. - Hire, grow, and retain exceptional engineers who thrive in a high-trust, high-impact environment. - Foster a culture of simplicity, quality, and continuous improvement. - Contribute to code and architecture reviews, unblock teams, and lead by example when needed. - Work closely with cross-functional partners to align product initiatives with company goals. WHAT YOU HAVE - 3+ years of experience in a software engineering management role leading product engineering teams, preferably in high-growth environments. - 6+ years of software engineering experience as a backend engineer. - A track record of leading high-performing, engaged engineering teams. - Strong product sense and an instinct for balancing speed, quality, and user impact. - Experience with backend systems (e.g., Python, Java, Go) and modern cloud-native infrastructure. - A plus: Exposure to AI-powered applications or complex internal tools. - Ability to anticipate scaling bottlenecks before they occur and take decisive, proactive measures. - Experience building RAG pipelines and managing the data lifecycle. ADDITIONAL INFORMATION - Work eligibility: Must be authorized to work in India. Visa sponsorship is not available for this role. PLEASE FIND THE APPLICANT PRIVACY FOR THIS REGION HERE https://www.harvey.ai/legal/india-applicant-privacy-notice. #LI-DM1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

TLDR: Ищем Applied AI Engineer (Middle+) для разработки и тестирования AI-систем, улучшения качества и автоматизации внутренних процессов. - 3+ года опыта в разработке AI/LLM-систем.

Location: Москва Дирекция мониторинга Agile занимается созданием дашборда для руководителей в Сбере. Мы собираем данные по всем процессам в Банке, анализируем их и предоставляем необходимую информацию для принятия решений. Ищем в команду DS уровня Senior или кто готов выступить в роли Lead DS, который будет участвовать в полном цикле разработки – от формирования идеи до вывода ML решений в промышленную эксплуатацию (ПРОМ). Вы будете строить ИИ-агентов и ML модели, которые работают с ключевыми процессами и влияют на опыт тысяч сотрудников Сбера. Обязанности ### Обязанности: * погружение в нюансы процессов и участие на встречах с пользователями * активное взаимодействие с командами разработки и DS * разработка прототипов pipeline сбора и обработки данных * разработка CI/CD пайплайнов, оборачивание кода в docker образы, развертывание контейнеров в Kubernetes, управлять секретами и ролевыми доступами * fine-tuning моделей (instruction-tuning, adapters, LoRA, SFT, LLM-RL) * создание, внедрение и развитие MLOps-практики (стенды, процессы, DevOps), инференса LLM (среды разработки, тестирования и инференса моделей в различных режимах работы (Batch, Streaming) и использование ресурсов (CPU, GPU)) * обеспечение мониторинга и выявление узких мест в работе систем. Требования ### Требования: * опыт коммерческой разработки ML-решений / AI агентов от 4-5 лет * полный цикл от идеи до production и понимание, как обеспечить надежность моделей * практический опыт и представление в RAG-системах, мульти агентных приложениях, fine-tuning LLM и prompt инжиниринге * опыт использования Airflow и MLFlow (или другими аналогичными инструментами) * автоматизация процесса мониторинга качества моделей и их калибровка * уверенное знание MLOps практик * уверенное владение ИИ-инструментами. Условия ### Условия: * комфортный современный офис на м. Кутузовская, (офисный режим работы) * ежегодный пересмотр зарплаты, квартальной и годовой премии * уникальная система обучения Сбера для профессионального и карьерного развития * программа адаптации и помощь руководителя на старте * расширенный ДМС и льготное страхование для семьи * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью использования на трех близких * вознаграждение за рекомендацию друзей в команду Сбера.

Разработка и сопровождение сайтов компании на «1С-Битрикс: Управление сайтом». Доработка функционала: собственные компоненты и модули на D7, шаблоны, инфоблоки и Highload-блоки, обработчики событий, агенты.

Проектировать архитектуру мультиагентных систем для автоматизации клиентской поддержки, включая RAG, управление состояниями и оркестрацию ИИ-агентов. Разрабатывать и развивать workflow-системы для управления взаимодействием агентов, многошаговыми диалогами и интеграциями с внутренними сервисами.

-Разрабатывать агентов на LangGraph: tool calling, многошаговые сценарии, human-in-the-loop, обработка ошибок. -Строить RAG по внутренним документам: разбор PDF/DOCX, сканов и таблиц, индексация, гибридный поиск (BM25 + dense), реранкинг.

-Опыт работы в QA от 5 лет, включая ручное и автоматизированное тестирование, в том числе от 3 лет коммерческого опыта в QA Automation.

• Python dasturlash tilini hamda dasturiy taʼminotni ishlab chiqish asoslarini bilish; • API ishlash prinsiplari va tashqi servislarni integratsiya qilishni tushunish;

Location: Remote - Canada What We’re Building Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023! If you want to see what we’ve been up to, please check out these blog posts and Honeycomb.io press releases . Who We Are We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live our values every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers. How We Work We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote Little more about the team: You'll be the product manager for our Canvas and Agentic AI teams - the teams building Honeycomb's AI-powered investigation experience. Canvas lets engineers use natural language to query, visualize, and understand their production systems. We're pushing well past chat: we're building Skills (pre-configured workflows that encode domain expertise into repeatable, executable actions), Auto-Investigations (agent-driven investigations that kick off before a human gets paged), and a rearchitected Canvas that's both interactive and collaborative. You'll work in a tight triad with engineering and design leads, owning the roadmap for how AI shows up in Honeycomb, from the product UI to our MCP server. You'll partner with our Director of AI Strategy, Research & Development teams, and our customer-facing teams to stay grounded in what customers actually need while pushing toward something meaningfully different from what exists today. This is a role for someone who can hold both execution and ambiguity: shipping production features while navigating a product space where the right answers are still emerging. What you’ll do in the role: Define AI product strategy in service of Honeycomb's vision Synthesize AI trends, customer needs, and technical capabilities into clear strategic recommendations Help the product organization understand where and how AI creates genuine customer value vs. where it's hype Identify emerging observability challenges created by AI adoption (e.g., LLM drift, prompt regression, low-context generated code) Make informed bets about which AI technologies and approaches warrant investment Conduct research that bridges technology and customer reality Build deep understanding of how customers are adopting AI in their engineering workflows Identify patterns across customer conversations that signal future market needs Stay current with AI/ML developments (RAG, fine-tuning, agentic systems, etc.) and translate implications for observability Engage with technical communities, researchers, and early adopters to spot trends before they go mainstream Enable AI innovation across the product portfolio Partner with product teams to identify high-value opportunities to leverage AI capabilities Provide guidance on AI approaches, trade-offs, and best practices without centralizing all decisions Help teams understand how their work fits into our broader AI strategy and how to leverage shared capabilities Synthesize cross-portfolio learnings and socialize what's working (and what isn't) Evangelize the AI-observability connection Articulate Honeycomb's point of view on AI observability both internally and externally Help customers understand how observability needs evolve as they adopt AI Contribute to thought leadership through writing, speaking, and community engagement Build credibility with technical audiences who care deeply about how we use AI, not just that we use it What you’ll bring to the role: Proven AI product experience 5+ years in product management with at least 1+ year shipping AI/ML-powered products Track record of taking AI features from concept to customer impact, including things that didn't work Deep understanding of how engineering teams actually build, deploy, and operate AI systems (not just theoretical knowledge) Familiarity with current AI/ML techniques and the judgment to know when they're applicable vs. overhyped Strategic thinking with customer empathy Ability to synthesize disparate signals (research, customer feedback, technical trends) into coherent strategy Comfort operating with ambiguity and making decisions without perfect information Pattern recognition across conversations—spotting what customers aren't yet saying clearly Strong judgment about when to say "no" or "not yet" despite exciting technology Technical credibility without needing to be the expert Enough technical depth to have earned respect from engineers and architects Genuine curiosity about how things work, paired with humility about what you don't know Ability to evaluate trade-offs between different AI approaches (RAG vs. fine-tuning, model selection, etc.) Understanding of observability principles and why they matter in production systems Communication and collaboration skills Excellent written and verbal communication—can explain complex ideas clearly to varied audiences Ability to influence without authority across product, engineering, and go-to-market teams Comfort presenting to customers, executives, and technical audiences Collaborative mindset that elevates others' work rather than centralizing control Curiosity and learning orientation Demonstrated ability to stay current in fast-moving domains (AI is evolving weekly, not yearly) Intellectual humility—you're more interested in learning than being right Excitement about the intersection of AI technology and real customer problems Energized rather than exhausted by the pace of change in AI Base Salary based on level of experience $272,739 — $320,829 CAD What you'll get when you join the Hive: A stake in our success - generous equity with employee-friendly stock program It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience Time to recharge with unlimited PTO A distributed-first mindset and culture (really!) Home office, co-working, and internet stipend Full benefits coverage for employees, with additional coverage available for dependents Up to 16 weeks of paid parental leave, regardless of path to parenthood Annual development allowance And much more... Please note we cannot currently sponsor or support visa transfers at this time. Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work. Phishing and Recruitment Scam Warning: We take your security seriously. Please be aware that recruitment scams are increasingly common and scammers may create email addresses or websites to impersonate Honeycomb employees. To help protect you: All communications will come from an @honeycomb.io email address We occasionally work with external recruiting agencies. These partners will use legitimate business email addresses— never personal accounts like Gmail or Yahoo . Our recruiting process will never ask you to provide financial or sensitive personal information, including but not limited to: Social security or tax identification numbers Credit card numbers Bank account information Diversity & Accommodations: We're committed to building a diverse, inclusive, and equitable workplace—where people of all backgrounds, identities, experiences, and abilities are welcomed, valued, and supported. We recognize that there is no single path to success and embrace nontraditional career journeys and diverse perspectives as key to building stronger, more innovative teams. We strive to ensure an inclusive experience throughout every stage of our hiring process and are happy to provide reasonable accommodations as needed. If you require accommodations or accessible formats at any point during our hiring process, please let your recruiter know. As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work. If there’s anything we can do to improve your experience, we’re always open to feedback. Privacy Notice: If you apply for a job at Honeycomb and your application is unsuccessful (or you withdraw from the process or decline our offer), Honeycomb will retain your information after your application for a period of time in accordance with local laws. We retain this information for various reasons, including in case we face a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs at Honeycomb, and to help us better understand, analyze and improve our recruitment processes. For more information regarding our privacy practices please see the Honeycomb Privacy Notice . If you do not want us to retain your information, or want us to update it, please contact privacy@honeycomb.io . Please note, however, that we may retain some information if required by law or as necessary to protect ourselves from legal claims.

- Отвечать за AI-направление студии: определять, какие процессы и как автоматизировать, расставлять приоритеты и доводить решения до реального эффекта; - Курировать и контролировать работу ИИ-помощников для разных направлений (геймдизайн, нарратив, разработка, продюсирование);

Location: Vancouver, BC We’re looking for a Senior Software Engineer to join our growing AI organization in Vancouver. Asana is pioneering a new category of technology as the human-agent operating system, doubling down on our AI Suite to move our customers toward expansive, end-to-end intelligent orchestration. We are expanding several of our key AI engineering teams: depending on where you land, you might lead architecture across our core agentic runtime, develop high-throughput evaluation and safety infrastructure, or build the sophisticated customer-facing builders and canvas surfaces that allow enterprises to coordinate humans and AI agents seamlessly. Because this is an organization-wide search across our AI teams, you will participate in a single, streamlined technical interview process, and we will work with you to match you to the ideal team at the end of your interview experience. This role is based in our Vancouver office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Drive the technical design, architecture, and end-to-end delivery of medium-to-large projects across our AI roadmap, guiding and collaborating with multiple engineers. Design robust, extensible, and performant systems that support agentic execution, prompt-driven automation, model orchestration, and strict enterprise-grade data boundaries. Solve complex technical problems by weighing technical debt, developer velocity, execution risk, and direct business goals. Anticipate customer and architectural risks early, breaking down complex, ambiguous product visions into clear engineering milestones and actionable tasks. Champion technical excellence, write high-leverage design docs, run meaningful retrospectives, establish testing norms, and mentor engineers across levels to raise the engineering bar. Partner closely with Product Managers, Engineering Managers, Product Designers, and Data Scientists to define requirements, clarify trade-offs, and align technical direction with Asana's broader product strategy. About you Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making. 6+ years of professional software engineering experience designing, building, and maintaining production distributed systems, microservices, or complex full-stack architectures. Demonstrated track record of technical leadership across multiple services or codebases, with practical experience or deep interest in LLMs, agentic patterns, evaluation pipelines, retrieval-augmented generation (RAG), or real-time streaming infrastructure. Proven ability to author comprehensive technical design docs, evaluate trade-offs (e.g., latency, cost, determinism, maintainability), and make durable architectural decisions. Track record of acting as a Tech Lead or Area of Responsibility (AoR) owner—successfully driving multi-contributor projects from ambiguity to delivery while navigating cross-team dependencies. Passion for mentoring and coaching fellow engineers, providing actionable code and design feedback, and establishing long-term engineering best practices. Deep empathy for the end-user experience, understanding how backend architecture and model behaviours directly affect user trust, interface latency, and workflow reliability. At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply. What we’ll offer Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. For this role, the estimated base salary range is between $176,000 -$200,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role. We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long-term savings or retirement plans In-office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role. #LI-Hybrid #LI-HC1 About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.