Location: Москва
Наша команда ищет Senior Data Scientist, который будет заниматься разработкой ключевых GenAI-инициатив в канале ВСП.
Вам предстоит с нуля выстраивать end-to-end пайплайны: от исследования и прототипирования до вывода в продакшен интеллектуальных агентов и ML-моделей. Вы будете отвечать за полный цикл создания ценности — от бизнес-гипотезы до работающего продукта.
Обязанности
**Что предстоит делать:**
* Проектировать и внедрять в продакшен мультиагентные системы (orchestrator–workers, ReAct, Plan-and-Execute).
* Строить продакшен-RAG (гибридный поиск, ANN/HNSW, query rewriting, GraphRAG).
* Разворачивать harness для агентов, настраивать guardrails, трейсинг траекторий и проводить A/B-тесты версий (промпт/модель/инструменты).
* Оптимизировать LLM-пайплайны (DSPy / MIPROv2, управление контекстом и памятью).
* Дообучать модели (SFT, LoRA/QLoRA) под ру-домены и внедрять function calling / MCP.
Требования
* **Релевантный опыт работы от 5 лет**
* **Агенты:** LangChain, LangGraph (обязательно); LlamaIndex, CrewAI (опционально).
* **ML/NLP:** трансформеры, attention, prompt engineering (CoT, few-shot), Fine-tuning.
* **RAG и поиск:** Qdrant, Elasticsearch или FAISS.
* **Оценка:** LLM-as-a-Judge, Inspect AI / RAGAS / DeepEval, матстатистика для A/B-тестов.
* **Классический ML:** CatBoost, XGBoost, скоринг, предотвращение утечек.
* **MLOps:** Python (продакшен-код, ООП), Docker, k8s, CI/CD, MLflow/WandB, мониторинг data drift.
* **Инференс:** vLLM, Triton, TensorRT/ONNX, квантизация, оптимизация latency и стоимости.
Условия
* Гибкий гибрид (обсуждаем индивидуально).
* Современный IT-офис вблизи Москва-Сити с фитнес-залом.
* Ипотека с выгодой для сотрудника и льготные условия кредитования.
* Бесплатная подписка СберПрайм+.
* Скидки на продукты компаний-партнеров.
* ДМС с первого дня и льготное страхование для близких.
* Корпоративная пенсионная программа.
* Обучение за счет компании: онлайн-курсы в онлайн-школе Сбера и неограниченный доступ к библиотеке, обучение в Корпоративном университете, тренинги, митапы и возможность получить новую квалификацию.
* Крупнейшее DS&AI Community — более 600 DS-банка, регулярный обмен знаниями, опытом и лучшими практиками, интерактивные лекции и мастер-классы от ведущих ВУЗов и экспертов технологических компаний, дайджест о самых последних разработках в области DS&AI и отчеты с крупнейших конференций мира.
Location: San Francisco, CA, USA
About the role
Jade is Chime’s AI financial partner, helping members better understand and manage their money. We’re looking for a senior software engineer who enjoys building reliable products and systems, solving practical problems, and learning new technologies.
You’ll help make Jade more discoverable, relevant, and engaging by connecting members with meaningful AI-powered experiences. You’ll work across the stack, building services, APIs, and member-facing features that power Jade. Our backend primarily uses Python, and we welcome engineers with experience in other languages who are interested in learning it. You’ll also help improve the quality, reliability, and performance of Jade as the product evolves.
We value strong engineering fundamentals, thoughtful problem-solving, and curiosity. Prior experience with AI or machine learning is preferred, but not required.
In this role, you can expect to
Design full-stack services and APIs that support Jade’s capabilities.
Own scoped features from technical design through implementation and rollout, with feedback and support from your teammates.
Contribute to automated evaluations, testing, and experimentation to understand model behavior, measure quality, and assess the impact of new features.
Improve system reliability, performance, and observability, and help investigate production issues.
Partner with engineering, product, design, and data teammates to understand member needs and iterate on useful experiences.
To thrive in this role, you have
2+ years developing software in a production environment at scale
Experience with modern front-end technologies such as React Native, React, or Typescript
Proficiency in a backend programming language, such as Python, Go or Ruby, and the ability to write clean, maintainable, and well-tested code.
Experience building backend services or applications, including working with APIs and databases.
Strong systems thinking, you can reason about how components fit together, how data moves through a system, and where failures might occur.
An understanding of distributed systems fundamentals, including service communication, reliability, and trade-offs around latency, consistency, and scale.
Strong problem-solving and debugging skills, with the ability to break work into manageable steps and explain technical choices.
A collaborative approach, clear communication, and a willingness to ask questions, incorporate feedback, and learn unfamiliar technologies.
Experience deploying and supporting a production application, including monitoring, troubleshooting, or working with cloud infrastructure.
The following are preferred, but not required:
Experience with Python and its backend development ecosystem.
Familiarity with large language models (LLMs), including using model APIs, prompts, or tools to build applications.
Exposure to AI evaluations (“evals”), such as using test cases, datasets, or experiments to measure response quality and identify regressions.
Familiarity with AI tools and frameworks such as LangSmith, LangChain, LangGraph, Amazon Bedrock, or comparable platforms. Experience with any particular tool is not expected.
Your exposure to AI can come from professional work, personal projects, or hands-on learning. We welcome strong engineers who are interested in growing into this space.
#LI-Onsite #LI-SL1
Below is the base salary offered for this role and level of experience. Full-time employees may also be eligible for bonus(es), competitive equity, and benefits. For commissioned roles, the base salary listed in this job description does not include incentive/variable pay. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.
Wage Notice
$133,000
—
$184,000 USD
A little about us
At Chime, we believe that everyone can achieve financial progress. We created Chime—a financial technology company, not a bank*—on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it's starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we're proud to have helped millions unlock their financial potential.
We're a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner's mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members.
We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress.
We know that to achieve our mission, we must earn and keep people's trust—so we hold ourselves to the highest standards of integrity in everything we do. These aren't just words on a wall—our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential.
Because if we don't—who will?
*Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC.
What we offer for our full-time, regular employees
🏢 Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location.
💻 Benefits that support your work and life, including backup child, elder, and pet care and subsidized commuter benefits for eligible employees.
✨ Comprehensive health, financial, and wellbeing benefits designed to support you at every stage of life.
🏝 Generous vacation policy and company-wide paid days off
🫂 1% of your time off to support local community organizations of your choice
👟 Annual wellness stipend to use towards eligible wellness related expenses
👶 Up to 22 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents
👪 Access to family planning reimbursement
💚 A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress
We know that great work can’t be done without a diverse team and inclusive environment. That’s why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals.
Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact:
accommodations@chime.com
.
To learn more about how Chime collects and uses your personal information during the application process, please see the
Chime Applicant Privacy Notice
.
Location: San Francisco, CA, USA
About the role
Jade is Chime’s AI financial partner, helping members better understand and manage their money. We’re looking for a software engineer who enjoys building reliable systems, solving practical problems, and learning new technologies.
You’ll work on the services, APIs, and integrations behind Jade, helping our members interact with AI as part of their Chime experience. Our backend primarily uses Python, and we welcome engineers with strong experience in other languages who are interested in learning it. You’ll build capabilities for our members and help improve the quality, reliability, and performance of our new AI-powered product.
We value strong engineering fundamentals, thoughtful problem-solving, and curiosity. Prior experience or specialization in AI or machine learning is preferred, but not required. You’ll have opportunities to develop that knowledge on the team.
In this role, you can expect to
Design, build, and test backend services and APIs that power Jade’s capabilities.
Build integrations that connect AI models with member data, tools, and Chime services.
Own scoped features from technical design through implementation and rollout, with feedback and support from your teammates.
Contribute to automated evaluations, testing, and experiments that help us understand model behavior, measure quality, and catch regressions.
Improve system reliability, performance, and observability, and help investigate production issues.
Partner with engineering, product, design, and data teammates to understand member needs and iterate on useful experiences.
To thrive in this role, you have
2+ years developing software in a production environment at scale
Proficiency in a backend programming language, such as Python, Go or Ruby, and the ability to write clean, maintainable, and well-tested code.
Experience building backend services or applications, including working with APIs and databases.
Strong systems thinking, you can reason about how components fit together, how data moves through a system, and where failures might occur.
An understanding of distributed systems fundamentals, including service communication, reliability, and trade-offs around latency, consistency, and scale.
Strong problem-solving and debugging skills, with the ability to break work into manageable steps and explain technical choices.
A collaborative approach, clear communication, and a willingness to ask questions, incorporate feedback, and learn unfamiliar technologies.
Preferred Qualifications
The following are preferred, but not required:
Experience with Python and its backend development ecosystem.
Familiarity with large language models (LLMs), including using model APIs, prompts, or tools to build applications.
Exposure to AI evaluations (“evals”), such as using test cases, datasets, or experiments to measure response quality and identify regressions.
Familiarity with AI tools and frameworks such as LangSmith, LangChain, LangGraph, Amazon Bedrock, or comparable platforms. Experience with any particular tool is not expected.
Experience deploying and supporting a production application, including monitoring, troubleshooting, or working with cloud infrastructure.
Your exposure to AI can come from professional work, personal projects, or hands-on learning. We welcome strong engineers who are interested in growing into this space.
#LI-Hybrid #LI-SL1
Below is the base salary offered for this role and level of experience. Full-time employees may also be eligible for bonus(es), competitive equity, and benefits. For commissioned roles, the base salary listed in this job description does not include incentive/variable pay. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.
Wage Notice
$133,000
—
$184,000 USD
A little about us
At Chime, we believe that everyone can achieve financial progress. We created Chime—a financial technology company, not a bank*—on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it's starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we're proud to have helped millions unlock their financial potential.
We're a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner's mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members.
We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress.
We know that to achieve our mission, we must earn and keep people's trust—so we hold ourselves to the highest standards of integrity in everything we do. These aren't just words on a wall—our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential.
Because if we don't—who will?
*Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC.
What we offer for our full-time, regular employees
🏢 Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location.
💻 Benefits that support your work and life, including backup child, elder, and pet care and subsidized commuter benefits for eligible employees.
✨ Comprehensive health, financial, and wellbeing benefits designed to support you at every stage of life.
🏝 Generous vacation policy and company-wide paid days off
🫂 1% of your time off to support local community organizations of your choice
👟 Annual wellness stipend to use towards eligible wellness related expenses
👶 Up to 22 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents
👪 Access to family planning reimbursement
💚 A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress
We know that great work can’t be done without a diverse team and inclusive environment. That’s why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals.
Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact:
accommodations@chime.com
.
To learn more about how Chime collects and uses your personal information during the application process, please see the
Chime Applicant Privacy Notice
.
Location: Croatia; Georgia; Poland; Romania; Turkey; Czechia
Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.
Role Overview
We are looking for an experienced
Forward Deployed AI Engineer
to design and deliver production-grade AI applications directly with enterprise product and engineering teams.
This is a highly hands-on, client-facing role focused on turning complex business requirements into scalable solutions using
Python, Large Language Models, RAG, agentic workflows, LangChain / LangGraph, and modern web technologies
. You will own the full delivery lifecycle, from discovery and rapid prototyping through production deployment, adoption, and continuous optimization.
CONTRACT:
Contractor, long-term engagement
COMMITMENT:
Full-time
LOCATIONS:
Remote — Turkey, Croatia, Czech Republic, Estonia, Georgia, Poland, or Romania
START:
ASAP
DURATION:
6+ months, with possible extension based on performance
NOTES:
Fluent English and strong stakeholder communication skills are required.
Key Responsibilities
Work directly with business, product, and engineering stakeholders to understand complex requirements and translate them into
production-ready AI solutions
.
Design and build applications using
LLMs, RAG, AI agents, tool/function calling, and structured outputs
.
Develop agentic workflows using frameworks such as
LangChain, LangGraph, LlamaIndex, or similar technologies
.
Design retrieval architectures using vector search, embeddings, document pipelines, and contextual retrieval techniques.
Build robust backend services and application logic in
Python
.
Develop user-facing AI applications using
React, Next.js, or similar frontend technologies
.
Integrate AI applications with enterprise APIs, internal platforms, data systems, and authentication / IAM environments.
Deploy applications using
cloud platforms, Docker, and CI/CD pipelines
.
Monitor and improve AI application quality, reliability, latency, security, and business performance.
Contribute reusable engineering patterns, components, and implementation best practices across projects.
Requirements
6+ years of professional software engineering experience
, with strong production-level Python expertise.
Hands-on experience building
LLM-powered applications
in production.
Strong experience with
LangChain, LangGraph, LlamaIndex, or comparable AI orchestration frameworks
.
Strong understanding of
Retrieval-Augmented Generation (RAG), vector retrieval, embeddings, and LLM integration patterns
.
Experience designing
AI agents, agentic workflows, tool/function calling, structured outputs, and automation systems
.
Experience with
React, Next.js, or similar modern web technologies
.
Experience deploying production applications using
cloud platforms, Docker, and CI/CD
.
Strong understanding of enterprise integrations, secure API design, IAM, and AI / LLM-specific security considerations.
Strong ability to translate business needs into technical architecture and communicate effectively with both technical and non-technical stakeholders.
Location: Москва
Разрабатываем и сопровождаем AI-агентов для автоматизации бизнес-процессов Центра Управления Наличным Денежным Обращением: работу с корпоративными данными, аналитические сценарии и интеграции с внутренними системами. Ищем Python-разработчика с практическим опытом создания AI-агентов и мультиагентных решений.
Обязанности
* разрабатывать AI-агентов и мультиагентные сценарии на Python (LangGraph, LangChain)
* реализовывать память агентов, управление состоянием, историей диалогов и контекстом между сессиями
* создавать RAG-системы и интеграции с корпоративными источниками данных
* настраивать Tool Calling, Structured Outputs, маршрутизацию задач и оркестрацию агентов
* интегрировать решения с REST API, Kafka, базами данных и внешними сервисами
* тестировать, оптимизировать и сопровождать агентов в промышленной среде.
Требования
* Python: коммерческая разработка от 2 лет; FastAPI, asyncio, SQL, Git, Docker; понимание CI/CD
* практический опыт разработки AI-агентов на LangGraph/LangChain или аналогичных фреймворках; работа с LLM API, промптами, Tool/Function Calling и Structured Outputs
* опыт создания мультиагентных систем: распределение ролей, оркестрация, передача задач и управление состоянием; знание MCP и A2A
* опыт реализации краткосрочной и долгосрочной памяти, хранения истории взаимодействий и управления контекстом (PostgreSQL, Redis или аналоги)
* опыт построения RAG: чанкинг, эмбеддинги, поиск, реранжирование; работа с векторными хранилищами (Qdrant, pgvector, FAISS или аналоги)
* опыт интеграции с REST API и Kafka, понимание обработки ошибок и отказоустойчивости
* навыки тестирования и оценки качества ответов агентов, логирования и мониторинга
* знание методов защиты от Prompt Injection, принципов разграничения доступа и безопасного вызова инструментов
БУДЕТ ПЛЮСОМ
* Langfuse, LangSmith или другие инструменты трассировки и оценки качества
* gRPC, WebSocket, Kubernetes
* опыт построения автоматизированных проверок качества AI-агентов.
Условия
* комфортный современный офис (Волгоградский пр.) офисный режим работы
* ежегодный пересмотр зарплаты, годовую премию
* корпоративный спортзал и зоны отдыха
* уникальную систему обучения Сбера для профессионального и карьерного развития
* расширенный ДМС и льготное страхование для семьи
* гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ
* подписка Прайм с возможностью совместного использования на трёх близких
* вознаграждение за рекомендацию друзей в команду Сбера
* корпоративную пенсионную программу
Предстоит исследовать LLM и RAG, работать с неструктурированными данными, готовить датасеты и обучать chat- и embedding-модели. Среди задач также AI-инструменты и агенты для корпоративных продуктов.
ОфисseniorНаш офис находится в новосибирском Академгородке
-Развивать ИИ-агентов: обработку сообщений, вызов внешних функций, проверку ответов нейросети и защиту от ошибочных действий. -Разрабатывать и поддерживать интеграции с YClients, мессенджерами, CRM и платёжными системами.
Location: London
Workplace: OnSite
ABOUT US
At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale.
We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry.
More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale.
ABOUT THE ROLE
We’re hiring a Technical Support Engineer to lead our customer support experience for highly technical users, from AI engineers to infrastructure architects. You’ll be on the front lines helping teams debug production LLM applications and agents, improve AI observability and evaluations, and unblock critical issues. You’ll also help define what world-class technical support looks like for modern AI platforms
KEY RESPONSIBILITIES
- Be the go-to escalation point for technical support inquiries—diagnosing issues across customer setup, LangChain products, and deployment issues.
- Work directly with engineering, operations, documentation, and product teams to resolve bugs, suggest patches, and advocate for customer needs.
- Partner with Deployed Engineering to support critical enterprise customers.
- Build and refine internal tooling, diagnostics, and runbooks for complex issue triage.
- Lead post-mortems for critical incidents and feed learnings back into product and documentation.
- Help refine KPIs for support health (MTTR, CSAT, bug recurrence) and drive continuous improvement.
- Improve documentation and knowledge articles to improve 1-to-many resources and provide proactive support.
- Mentor and coach other support engineers.
How to be successful in this role
- 4+ years in technical support, solutions engineering, or SRE roles in deeply technical B2B environments (e.g., observability, infrastructure, data platforms).
- Expert troubleshooting skills across APIs, SDKs, distributed systems, and cloud-native stacks.
- Programming experience with Python. Bonus if you have TypeScript experience.
- Hands-on knowledge of Kubernetes and Docker
- Comfort working with logs, traces, metrics in Datadog, and 3rd-party integrations (e.g., OpenTelemetry, LLM providers).
- Experience supporting enterprise customers and collaborating with engineering on complex escalations.
- A bias for clarity and continuous improvement: you write succinct, helpful, and accurate responses and build a foundation for case deflection.
- High ownership — want to do what’s best for the customer and the company and are relentlessly results oriented
Compensation & Benefits
- Competitive salary and equity stake for role and stage of company. Commensurate with experience.
- Annual salary range: £80,000 - £110,000
COMPENSATION PHILOSOPHY:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
- Владеть родительским приложением и бэкендом: привязка устройства, аккаунты, родительский контроль, история активности, удаление данных. - Выпускать релизы iOS и Android со staged rollout и откатами.
Location: Москва
AI-команда блока развития клиентского опыта B2C приглашает опытного AI-инженера для участия в создании AI-агентов и LLM-решений, которые улучшают взаимодействие с клиентами - как внешними, так и внутренними пользователями Сбера.
Мы строим передовые AI-инструменты на основе LLM, автоматизируем процессы и делаем сервисы персонализированными. Вы станете ключевым участником команды, которая внедряет AI-решения в реальные бизнес-процессы.
Наше управление состоит из 45+ специалистов: Data Scientists, AI и ML-инженеров, MLOps и Project-менеджеров. Мы активно развиваем решения на базе LLM, трансформируя клиентский опыт.
Обязанности
* разрабатывать и внедрять LLM-пайплайны и AI-агентов: от генерации идеи и сборки MVP до успешного запуска в продакшн
* дообучать LLM (на базе GigaChat) под конкретные бизнес-задачи и предметные области (Fine-tuning, LoRA)
* оборачивать разработанные модели и бизнес-логику в надежные микросервисы на Python
* переводить бизнес-потребности на язык машинного обучения и предлагать оптимальные архитектурные решения.
Требования
* опыт: от 3 лет в Data Science или NLP с уверенным практическим применением LLM
* LLM & Agents: опыт разработки LLM-пайплайнов, RAG-систем или AI-агентов. Знание основных фреймворков: LangChain, LangGraph или аналогов
* NLP & ML: глубокое понимание NLP - от классических подходов (TF-IDF) до современных трансформеров и LLM; знание основных принципов и алгоритмов классического ML
* Python Backend: понимание принципов проектирования микросервисной архитектуры (REST API); опыт написания асинхронных и многопоточных приложений (aiohttp, asyncio, multiprocessing)
* Инженерная культура: умение писать чистый, поддерживаемый и тестируемый код на Python
* Владение Git, SQL, Bash, Docker.
будет плюсом:
* опыт интеграции AI-агентов и ML-моделей в высоконагруженные сервисы
* интерес к SOTA-подходам в агентной разработке
* практическое применение фреймворка DeepAgents в PET проектах
* опыт работы с Kubernetes.
Условия
* комфортный современный офис рядом с м. Кутузовская
* гибридный формат работы
* ежегодный пересмотр зарплаты, квартальная и годовая премия
* корпоративный спортзал и зоны отдыха более 400 образовательных программ СберУниверситета для профессионального и карьерного развития
* программа адаптации и помощь руководителя на старте
* расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа
* гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ
* подписка Прайм с возможностью совместного использования на трёх близких
* вознаграждение за рекомендацию друзей в команду Сбера.
Разрабатывать серверную часть прикладных информационных систем и ИИ-сервисов на Python. Реализовывать программные модули обработки и анализа структурированных и неструктурированных данных, в том числе технических документов.
Location: Remote - Europe, Americas
Who We Are:
Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure
for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more.
Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts.
Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it.
Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator.
Our Team Members:
We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond!
We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply.
Your Role:
Your Role:
We’re looking for a Senior Software Engineer to build the developer platform that agents and partners use to integrate and build on. You evolve Alpaca’s MCP servers, tools, and skills, and you build the APIs behind them.
You play a central role to define the architecture that provides the fastest time to market for integrators. Builders who embed Alpaca for their end users all use this surface.
This is a hands-on role. You will lead through architecture, code, design reviews, and mentorship, and you will ship the first version yourself. You will partner with Product, Compliance, Risk, and Platform Engineering teams.
Things You Get To Do:
Design and build Alpaca’s agent-facing developer platform: MCP servers, tools, skills, and the APIs behind them.
Evolve that platform as the MCP protocol and connector, plugin, and skill standards change.
Build new APIs that make trading and account capabilities available to apps and agents.
Decide which components the platform renders, so developers and partners build apps faster from shared building blocks.
Keep Alpaca’s execution model current with the MCP protocol and with connector, plugin, and skill standards, and translate what changes into the application architecture of the developer platform.
Own production reliability and quality for the services you build.
Mentor engineers and raise the quality of design and implementation in this area.
Who You Are (Must-Haves):
5+ years of software engineering experience, with ownership of production systems that other developers use.
Shipped a developer-facing API, SDK, or platform as a primary contributor.
Enough MCP architecture to work with stateless and stateful behavior, and experience building to MCP, or to connector, plugin, or skill standards, as they have changed in production.
Strong API design, including schemas, compatibility, and responses other developers can rely on.
Proficiency in Python or TypeScript, and a willingness to work primarily in Go.
Strong architectural judgment, with a record of shipping while requirements are still being defined.
Clear communication with engineers, product, compliance, and risk partners.
Who You Might Be (Nice-to-Haves):
Experience shipping developer-facing tools, SDKs, or MCP servers.
Experience building agents with a framework such as LangChain.
Experience or understanding of financial markets
Production experience with Go.
Experience working at a startup.
Experience working remotely.
How We Take Care of You:
Competitive Salary & Stock Options
Health Benefits
New Hire Home-Office Setup: One-time USD $500
Monthly Stipend: USD $150 per month via a Brex Card
Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce.
Recruitment Privacy Policy
Location: Remote - Americas, Europe
Who We Are:
Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure
for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more.
Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts.
Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it.
Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator.
Our Team Members:
We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond!
We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply.
Your Role:
We’re looking for a Senior Software Engineer to design and ship autonomous execution for agents acting on Alpaca accounts. The same platform has to serve external algorithmic traders, partners building products on Alpaca, operators, and partners who embed Alpaca so their end users’ agents can act.
You will design and ship account-level policy and the checks on the path in front of our trading and risk systems. You will work with the engineers who own our MCP servers, tools, and skills, and with the team that owns authentication and authorization. You will help Product, Compliance, and Risk shape the control model, and you will ship the implementation.
This is a hands-on role. You will not manage people directly. You will lead through architecture, code, design reviews, and mentorship, and you will ship the first version yourself. You will partner with Product, Compliance, Risk, and the team that owns identity and authorization to define the control model. Broker risk controls stay with the teams that own them.
Things You Get To Do:
Lead the application architecture for safe agent execution, from the tool call through to our trading systems.
Design and build the account-level policy and guardrails for external agent actions.
Own the services that evaluate those rules on the path into our trading systems.
Define how agent-initiated trading actions behave, with the engineers who own our tools and skills.
Keep Alpaca’s execution model current with the MCP protocol and with connector, plugin, and skill standards, and translate what changes into account policy, guardrails, and trading actions.
Partner with Product, Compliance, Risk, and the identity platform to define the control model and ship it.
Own production reliability for the policy and guardrail services.
Review designs across teams and guide the technical decisions where agent actions meet brokerage systems.
Mentor engineers and raise the quality of design and implementation in this area.
Who You Are (Must-Haves):
5+ years of software engineering experience, building and operating production backend systems. Evidence of scope and ownership matters more than a strict year count.
Shipped autonomous execution: software that took actions under an explicit policy without a person approving each action, and that rejected or stopped actions outside that policy.
Designed and implemented account-level policy in an application: durable rules for what a caller may do, enforced on the action path, with an audit of the decision.
Enough MCP architecture to work with stateless and stateful behavior, and experience building to MCP, or to connector, plugin, or skill standards, as they have changed in production.
Able to define, with Product, Compliance, and Risk, which account rules allow an unattended action.
Proficiency in Python or TypeScript, and a willingness to work primarily in Go.
Strong architectural judgment, with a record of shipping while requirements are still being defined.
Clear communication with engineers, product, compliance, and risk partners.
Who You Might Be (Nice-to-Haves):
Experience with agent identity and authorization, such as OAuth, tokens, scopes, and delegated access, and comfort partnering with the team that owns that platform.
Experience shipping developer-facing tools, SDKs, or MCP servers.
Experience building agents with a framework such as LangChain.
Experience or understanding of financial markets.
Experience working at a startup.
Experience working remotely.
How We Take Care of You:
Competitive Salary & Stock Options
Health Benefits
New Hire Home-Office Setup: One-time USD $500
Monthly Stipend: USD $150 per month via a Brex Card
Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce.
Recruitment Privacy Policy
-проектировать и разрабатывать backend-сервисы на Python (FastAPI / Flask / Django). -создавать и оптимизировать цепочки LangChain (chains, agents, tools, memory) для реализации сложных сценариев обработки запросов и выполнения многошаговых задач.
Location: Москва
Команда БТР развивает ГигаНетворк — платформу для автономных B2B-сделок между ИИ-агентами. Мы строим инфраструктуру, где агенты-закупщики и агенты-поставщики ведут переговоры, заключают договоры, подписывают документы и проводят платежи. Продукт готовим к демонстрации на AI Journey 2026 и к промышленному пилоту на 100+ клиентов.
Обязанности
* разработка бэкенд-сервисов харнеса ГигаАгента (оркестрация навыков, управление сессиями, сохранение трейсов и стейта сделки)
* реализация интеграционных сервисов: СберБизнес АПИ (клиент-инфо, подключение УКЭП, связки агент-счёт, лимиты), блокчейн ГигаЧейн (смарт-контракты, Discovery, датафиды), ЭП/КриптоПро, ЭДО
* разработка сервисов генерации документов (дополнительные соглашения к ДБО, договоры сделок) с использованием Apache POI и шаблонных движков
* реализация MCP-коннекторов для интеграции агента с внешними системами
* проектирование и реализация REST/GraphQL API для фронтенда GigaCowork
* обработка событий из блокчейна (ораклы ЭДО, ERP, платёжные статусы).
Требования
* опыт работы: от 5 лет коммерческой разработки на Python
* уверенное владение Python 3.10+, опыт с FastAPI или Flask
* опыт работы с асинхронным программированием
* опыт проектирования и реализации микросервисной архитектуры
* опыт работы с PostgreSQL (оптимизация запросов, проектирование схемы)
* опыт интеграции с внешними REST API, работа с OAuth2, JWT
* опыт работы с Docker, Kubernetes
* понимание принципов событийно-ориентированной архитектуры (Kafka, RabbitMQ)
* опыт написания модульных и интеграционных тестов
* понимание принципов чистого кода, SOLID, DRY
* опыт работы с Git, CI/CD.
**Будет плюсом**
* опыт работы с блокчейн-технологиями (смарт-контракты, транзакции, ноды)
* опыт интеграции с банковскими сервисами или платёжными системами
* опыт работы с электронной подписью (КриптоПро, PKI, сертификаты)
* опыт работы с LLM / AI-агентами (LangChain, LlamaIndex, MCP-протокол)
* опыт работы с генерацией документов (Apache POI, docx-шаблоны, bookmark)
* понимание принципов ЭДО
* опыт работы в финтехе или банковской сфере.
Условия
* гибридный формат работы
* современный IT-офис вблизи Москва-Сити в пяти минутах от метро "Кутузовская", с фитнес залом
* более 400 образовательных программ СберУниверситета для профессионального и карьерного развития
* расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа
* гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ
* подписка Прайм с возможностью совместного использования на трёх близких
* вознаграждение за рекомендацию друзей в команду Сбера.
senior
San Francisco, CA, USA
San Francisco, CA, USA
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