About the role

We’re looking for AI Engineering Interns to help us build AI systems end-to-end. This is a fast-paced, hands-on role for candidates with high agency. At Mercura, you will collaborate closely with the best engineers and gain real-world experience in building AI applications in an industrial B2B context.

If you're excited about software engineering and AI, this is your opportunity to learn, experiment, and contribute.

What you will be working on

• Work across the full stack to build AI agents end-to-end

• Work with embeddings and fine-tune LLMs for classification and reranking

• Optimize algorithms for product search

• Apply RLHF & DPO to align LLMs with human feedback

• Build data pipelines to process large-scale unstructured data efficiently

• Make our backend scalable, stable and efficient

What we're looking for

• High agency and experience with building software and iterating quickly

• Experience with NLP, LLMs, Embeddings, ML, and AI-powered applications

• First Experience with full-stack development (TypeScript, Python, React, Next)

• Strong problem-solving capabilities and willingness to learn new technologies

• You’re excited to strive for excellence and build software in a fast-paced startup environment

• You want to work in-person in Munich with more intensity than in a 9-5 job

• You are available for a minimum 4-month internship

• You are done/at the end of university and could join full-time within six months after the internship

Company Perks

• Free team dinner (up to 4x/week)

• UrbanSportsClub membership - join our team workouts 3x/week

• Easy relocation to Munich — our office is located in the Werk1 Startup Incubator, where you can rent a 1-bedroom apartment right next to the office for just €800/month

• Access to any AI or productivity tools you need

About the interview

Step 1: Intro call

Casual intro meeting with one of the founders to get to know each other and introduce Mercura.

Step 2: Technical interview

A take-home technical challenge to showcase your skills, followed by a call to walk us through your approach, insights, and solution for the take-home exercise.

Step 3: Personal Fit

Meet another co-founder to get a feel for our culture and working style.

Step 4: Offer

If we see a great fit, you will get an offer, including a competitive compensation package.