onsite

(Senior) AI/LLM Engineer

As an AI/LLM Engineer at Mercura, you will be responsible for building end-to-end agentic AI systems, focusing on retrieval, LLM orchestration, and product integration. This role requires a strong technical background in LLMs, data systems, and AI, with a passion for building reliable AI systems in a fast-paced environment. You will design, develop, and deploy AI-powered solutions, including evaluation and feedback mechanisms, to enhance user interaction with AI in real-world workflows.

About the role

As an AI/LLM Engineer, you will play a key role in building agentic AI systems end-to-end. This is a fast-paced, hands-on role for engineers with high agency, strong technical depth and founder mindset. You’ll work on building reliable AI systems in production - from retrieval and LLM orchestration to tool-using agents and product integration. If you’re a passionate builder who excels at the intersection of LLMs, data systems, AI, data engineering, and full-stack development, this is your opportunity to shape how users interact with AI in real-world workflows.

What you will be working on

Agentic Systems: Design and build LLM-powered agentic systems end-to-end, from experimentation to production deployment
Retrieval & Context: Build retrieval and context pipelines (RAG, hybrid search, structured retrieval) to enable reliable reasoning over large volumes of technical and commercial data
AI Evals: Develop evaluation and monitoring systems to measure and improve AI performance in production
Data Pipelines: Build scalable pipelines to process and structure large volumes of unstructured documents and data
Feedback Loops: Implement automated feedback pipelines that allow AI systems to learn from usage data and human feedback
AI Infra: Own the architecture and reliability of AI systems in production, ensuring they are fast, scalable, and robust
Product Integration: Collaborate with other stellar engineers to deeply integrate AI capabilities into the product experience

What we're looking for

Technical Skills & Experience:

Proven track record of architecting and building complex, AI/LLM-powered systems or agents in production, including model serving, orchestration of agent workflows, monitoring, and scaling AI workloads
Designing systems that process and structure large volumes of unstructured data
Developing evaluation and feedback loops to measure and improve AI system performance
Experience with Python is required
Experience in full-stack development (React / Typescript / FastAPI) is a plus

Mindset & Commitment:

High agency & ownership: You develop new ideas and drive them in execution under minimal guidance
Mission-driven: Your job is part of how you define yourself. You are fully committed to your work and achieving ambitious goals amid uncertainty.
Product mindset: You demonstrate product thinking on a deep level and solve problems end-to-end
You’re excited to iterate quickly and build software in a fast-paced startup environment
You want to work in-person in Munich with a higher intensity than in a 9-5 job

About the role

What you will be working on

Agentic Systems: Design and build LLM-powered agentic systems end-to-end, from experimentation to production deployment
Retrieval & Context: Build retrieval and context pipelines (RAG, hybrid search, structured retrieval) to enable reliable reasoning over large volumes of technical and commercial data
AI Evals: Develop evaluation and monitoring systems to measure and improve AI performance in production
Data Pipelines: Build scalable pipelines to process and structure large volumes of unstructured documents and data
Feedback Loops: Implement automated feedback pipelines that allow AI systems to learn from usage data and human feedback
AI Infra: Own the architecture and reliability of AI systems in production, ensuring they are fast, scalable, and robust
Product Integration: Collaborate with other stellar engineers to deeply integrate AI capabilities into the product experience

What we're looking for

Technical Skills & Experience:

Proven track record of architecting and building complex, AI/LLM-powered systems or agents in production, including model serving, orchestration of agent workflows, monitoring, and scaling AI workloads
Designing systems that process and structure large volumes of unstructured data
Developing evaluation and feedback loops to measure and improve AI system performance
Experience with Python is required
Experience in full-stack development (React / Typescript / FastAPI) is a plus

Mindset & Commitment:

High agency & ownership: You develop new ideas and drive them in execution under minimal guidance
Mission-driven: Your job is part of how you define yourself. You are fully committed to your work and achieving ambitious goals amid uncertainty.
Product mindset: You demonstrate product thinking on a deep level and solve problems end-to-end
You’re excited to iterate quickly and build software in a fast-paced startup environment
You want to work in-person in Munich with a higher intensity than in a 9-5 job