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About the Role
This high-impact position involves building agentic AI systems end-to-end, from retrieval pipelines and LLM orchestration to tool-using agents and product integration. You will design scalable architectures and automated feedback loops to transform unstructured data into reliable, production-grade AI solutions.
Responsibilities
- Assume complete end-to-end technical responsibility for constructing, scaling, and launching agentic AI systems.
- Design and fine-tune retrieval systems, LLM orchestration frameworks, and self-contained, tool-utilizing AI agents.
- Build and deploy robust infrastructures capable of handling, organizing, and ingesting vast amounts of unstructured data.
- Create automated evaluation setups and feedback cycles to constantly assess and optimize the performance of AI models.
- Guarantee the smooth and dependable integration of advanced AI functionalities straight into our primary user products.
- Implement reliable monitoring, model serving, and observability systems for AI models operating in live production environments.
- Foster swift prototyping, fast-paced iterations, and agile development practices within a highly dynamic startup setting.
Requirements
- Demonstrated success in architecting, launching, and scaling intricate LLM-based systems and autonomous agents in real-world production environments.
- Expert-level proficiency and hands-on coding experience in Python.
- Deep knowledge of creating solid data architectures that can effectively process and structure massive volumes of unstructured data.
- Background in establishing automated benchmarking systems, evaluation frameworks, and continuous feedback loops for LLMs.
- Outstanding sense of initiative and responsibility to independently guide sophisticated technical projects from initial idea to deployment.
- A dedicated and robust mentality geared toward tackling difficult challenges in a rapid, high-growth atmosphere.
- Excellent product intuition, allowing you to translate advanced AI engineering capabilities into tangible benefits for users.
- Readiness to collaborate closely and face-to-face in our Munich office as part of a highly motivated, high-performance team.
- Prior experience working across the full stack (particularly with React, TypeScript, and FastAPI) is highly beneficial.
Skills
- Python
- LLM orchestration
- Retrieval pipelines
- Tool-using agents
- Data architectures
- Automated benchmarking
- Evaluation frameworks
- Continuous feedback loops
- React
- TypeScript
- FastAPI
Location
- Munich
Work Type
- On-site
Experience Level
- Senior
Salary/Compensations
- Up to €200k + equity (negotiable based on experience)
Benefits
- Competitive salary
- Equity
- Real technical ownership over core AI products and agentic infrastructure from day one
- Steepest possible learning curve within an ambitious, high-growth AI startup
- Direct collaboration with an exceptional founder team
- Access to the prestigious Y Combinator network
- Top-tier hardware
- Uncapped access to cutting-edge AI services, API credits, and tools
- Free Urban Sports Club membership
- On-demand remote setup options whenever temporary flexibility is needed
- Full relocation and travel expense coverage
About the Company
- Fast-growing, Y Combinator-backed AI startup automating back-office workflows.