- 経験
- どれでも
- 給料
- EUR 80,000 – EUR 120,000 / year
- 求人情報
- 1
- 投稿済み
- 18時間前
- 作業モード
- 在任中
- 再開する
- 応募必須
勤務地
仕事内容
About the Role
Join a well-funded early-stage AI startup based in Munich, supported by Y Combinator, as an AI / LLM Engineer. This role offers the chance to be part of a small, highly skilled engineering team tasked with creating the next wave of AI-empowered enterprise software. You'll gain significant influence over the product design, architectural decisions, and technological direction from the outset.
Key Responsibilities
- Develop and implement production-ready large language model (LLM) applications.
- Create AI agents and design agentic workflows to enhance functionality.
- Work on retrieval augmented generation (RAG) systems for improved AI outputs.
- Build AI-driven product features that are actively used by customers.
- Develop scalable backend services and APIs to support AI infrastructure.
- Lead the AI infrastructure development from experimental prototypes through to full production deployment.
Candidate Profile
- Proficient Python programmer with strong engineering background.
- Practical experience deploying production AI solutions that utilize large language models.
- Familiarity with technologies such as RAG, LangChain or LangGraph, MCP, OpenAI or Anthropic APIs, vector databases, FastAPI, Docker, Kubernetes, and cloud platforms like AWS, Azure, or GCP.
Additional Advantages
- Previous experience working in startups or as a founding engineer.
- Track record of taking AI products from concept (0) to launch (1).
- Solid fundamentals in software engineering best practices.
- Proven ability to bring AI products into production environments.
Compensation and Benefits
- Competitive salary range from €80,000 to €120,000.
- Meaningful equity opportunities to share in the company's success.
- Work alongside an outstanding founding team fostering high ownership and autonomy.
- The chance to directly shape the evolution of AI-based products.
Additional Information
This is an on-site role located in Munich, Germany. Candidates must currently reside in Munich or be willing to relocate to the area.