11 часов назад
Fullstack Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Fullstack Engineer (AI): Building and shipping features across an AI agent platform, including Python backend services, React and TypeScript interfaces, agent runtime, tool orchestration, and conversational copilot experiences with an accent on streaming interactions, human-in-the-loop approvals, and reliable cloud infrastructure. Focus on designing interactive chat experiences, improving agent execution and external tool integrations, and operating systems through testing, CI/CD, DevSecOps, and on-call responsibilities.
Location: Hybrid; at least 3 days per week from the Berlin HQ, London Office, or Iasi Hub
Company
builds an AI-powered Agentic Decision Platform that helps financial institutions automate and optimize decisions using AI agents, rules, relevant context, and human oversight.
What you will do
- Build and ship end-to-end production features for the AI agent platform across Python backend services and React/TypeScript frontend applications.
- Develop conversational copilot experiences, including chat interfaces, streaming responses, rich in-chat interactions, and human-in-the-loop approvals.
- Improve agent execution, external tool integrations, error handling, and platform reliability.
- Own features through scoping, implementation, testing, release, and iteration based on customer feedback.
- Review pull requests, improve test coverage and CI/CD, and participate in technical discussions and team rituals.
- Take part in daytime operations and eventually an on-call rotation while developing DevSecOps skills.
Requirements
- Industry experience building full-stack web applications; this is not an entry-level role.
- Proficiency with React and TypeScript and experience creating rich, interactive user interfaces.
- Experience with Python backend development, RESTful APIs, and databases.
- Experience integrating with AWS or similar cloud providers.
- Fluent English, written and spoken, is essential.
- Strong engineering fundamentals with an emphasis on simplicity and precision.
Nice to have
- Experience with chat or conversational UIs, real-time or streaming interfaces, or data visualization.
- FastAPI, Pydantic, DynamoDB, Postgres, or SQLAlchemy experience.
- Exposure to LLM application development, agent frameworks, MCP, or developer tools.
- Experience with operations, on-call work, distributed systems, asynchronous task processing, or observability tooling.
Culture & Benefits
- Flat hierarchy with direct communication and encouragement to challenge the status quo.
- Mentorship, cross-team learning groups, and a self-development budget for conferences, books, or classes.
- Top-of-market equity and cash compensation.
- New Apple MacBook Pro and meaningful home-office setup.
- Inclusive environment supporting people from diverse and underrepresented backgrounds.
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