(Senior) AI/LLM Engineer

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

Requirements

• 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
• Your team & mentors
• You will work with
• Sean (Co-Founder & CTO; Silver Medallist at the International Physics Olympiad (IPhO))
• Ben (prev. AI Engineer at Aleph Alpha)
• Mark (prev. SWE at Capital One, Cambridge Graduate)
• Your mentors will be
• Rohan Ramanath (General Manager AI Product at Nubank, prev. co-founder Hyperplane)
• Daniel Ribeiro Silva (Senior Director of ML at Nubank, prev. co-founder Hyperplane)
• Why Mercura
• Work with the latest tech : AI is at the core of our product, and use the latest tech across our product and processes to tackle meaningful challenges and shape how users interact with AI.
• Thrive in a high-growth, high-commitment environment : We

Benefits

Additional Information

Mercura ( YC W25 ) helps the companies that build the real world move at software speed, automating the back-office work that runs the $12 trillion industry behind every hospital, school, and power plant. We started with one of their biggest bottlenecks - turning messy technical requests into accurate quotes - and grew to $2M ARR in our first year . With a team of 16, we're now targeting $10M by the end of 2026 as well as our expansion into the US.

Your Match

How well this role fits your profile.

Company Intel

What employees say

Worked at Mercura? Share your experience