AI Fullstack (Python focused) Engineer
⚲ Warszawa
26 880 - 35 280 PLN (B2B)
Wymagania
- Python
- AI
- REST API
- TypeScript
- JavaScript
- AWS (nice to have)
- Next.js (nice to have)
Opis stanowiska
O projekcie:
You will be cooperating with a leading provider of AI evaluation and optimization solutions, trusted by multinational companies to optimize AI agents and detect performance issues in large language models.
In this role, you will contribute to a product that addresses one of the most important and challenging problems facing society’s adoption of AI today.
Due to the client’s time zone, we would appreciate a candidate who can work until 10:00 p.m.
Join us and make a real impact!
If you’re ready to broaden your horizons and work with an innovative company at the forefront of AI, we’d love to hear from you. You’ll help build the environments that shape how future AI systems are trained, evaluated, and aligned - and collaborate with world-class engineers and researchers on one of the most important technical challenges of our time.
Wymagania:
- Ability to work 2:00 p.m. - 10:00 p.m. (CEST).- Proven experience in building and maintaining production-ready agentic systems (custom evaluation harnesses).- A solid understanding of how modern LLMs work at the API level - tool calling, agent loops, context management - and experience building custom tools, harnesses, or non-trivial agent integrations.- 5+ years as a software engineer, full stack engineer, or similar.- Experience with JavaScript, Python and backend frameworks like FastAPI or Django.- Strong experience building production software with TypeScript.- Strong experience designing APIs, services, data models, and workflows — ideally with TypeScript, Python, FastAPI, JavaScript, and Postgres.Nice to have:
- BS/MS in Computer Science, Mathematics, Statistics, or a related quantitative field.- Experience with Next.js and Material UI.- Experience with cloud environments like AWS.- Familiarity with vector and columnar databases.
Codzienne zadania:
- Build RL environments end-to-end: frontend interfaces, backend services, APIs, data models, and workflows - using technologies like TypeScript, Python/FastAPI, Java, and Postgres.
- Build tooling and shared services, like agentic systems and frontends for trajectory review, verifier debugging, and reward hacking checks.
- Work with AI coding tools (Claude Code, Codex, and similar) to generate ideas for extending them and building new tooling on top.
- Design efficient data models and REST APIs.
- Develop internal tools and libraries (e.g. a data visualization library) to improve productivity across the engineering team.
You will be cooperating with a leading provider of AI evaluation and optimization solutions, trusted by multinational companies to optimize AI agents and detect performance issues in large language models.
In this role, you will contribute to a product that addresses one of the most important and challenging problems facing society’s adoption of AI today.
Due to the client’s time zone, we would appreciate a candidate who can work until 10:00 p.m.
Join us and make a real impact!
If you’re ready to broaden your horizons and work with an innovative company at the forefront of AI, we’d love to hear from you. You’ll help build the environments that shape how future AI systems are trained, evaluated, and aligned - and collaborate with world-class engineers and researchers on one of the most important technical challenges of our time.
Wymagania:
- Ability to work 2:00 p.m. - 10:00 p.m. (CEST).- Proven experience in building and maintaining production-ready agentic systems (custom evaluation harnesses).- A solid understanding of how modern LLMs work at the API level - tool calling, agent loops, context management - and experience building custom tools, harnesses, or non-trivial agent integrations.- 5+ years as a software engineer, full stack engineer, or similar.- Experience with JavaScript, Python and backend frameworks like FastAPI or Django.- Strong experience building production software with TypeScript.- Strong experience designing APIs, services, data models, and workflows — ideally with TypeScript, Python, FastAPI, JavaScript, and Postgres.Nice to have:
- BS/MS in Computer Science, Mathematics, Statistics, or a related quantitative field.- Experience with Next.js and Material UI.- Experience with cloud environments like AWS.- Familiarity with vector and columnar databases.
Codzienne zadania:
- Build RL environments end-to-end: frontend interfaces, backend services, APIs, data models, and workflows - using technologies like TypeScript, Python/FastAPI, Java, and Postgres.
- Build tooling and shared services, like agentic systems and frontends for trajectory review, verifier debugging, and reward hacking checks.
- Work with AI coding tools (Claude Code, Codex, and similar) to generate ideas for extending them and building new tooling on top.
- Design efficient data models and REST APIs.
- Develop internal tools and libraries (e.g. a data visualization library) to improve productivity across the engineering team.
🔍 Dekoder Ogłoszenia
🔴
Due to the client’s time zone, we would appreciate a candidate who can work until 10:00 p.m.
Oczekiwana jest praca w godzinach popołudniowych i wieczornych, co może wpływać na równowagę między życiem zawodowym a prywatnym.
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make a real impact!
Może oznaczać, że praca będzie miała znaczenie, ale równie dobrze może być pustym hasłem motywacyjnym.
🟡
broaden your horizons
Sugeruje naukę i rozwój, ale może też oznaczać konieczność adaptacji do nowych, nie do końca zdefiniowanych technologii lub procesów.
🟡
work with an innovative company at the forefront of AI
Może oznaczać pracę z najnowszymi technologiami, ale też potencjalnie z niedojrzałymi produktami lub nieustabilizowanymi procesami.
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one of the most important technical challenges of our time
Podkreśla wagę projektu, ale może też sugerować wysoki poziom trudności i potencjalne problemy z realizacją.