AI Engineering Intern

About Mercura

You know someone great? Introduce them to [email protected] and get up to €10,000 in referral bonuses if we hire them!* Mercura is building AI software for the backbone of our economy. We are one of the fastest growing companies from YC’s W25 batch and raised a heavily oversubscribed round at one of the highest valuations in our cohort. After surpassing $1M in ARR in under a year, we are looking for team members ready to go all-in to help us reach our next milestone: $10M ARR by the end of 2026 . One of our co-founders, Lukas, grew up in a trades family that has been active in the construction industry for over 115 years. Having worked on the construction site himself, he learned first-hand how slow and manual quoting still is in the industry. In an era where AI becomes ubiquitous, we set out on a deeply personal mission: bring AI to the backbone of our economy - to the companies that keep our world running.

About the role

Skills: Next.js, Python, React, TypeScript, Docker, PostgreSQL, Machine Learning, Natural Language Processing Mercura is building AI software for the backbone of our economy. We are one of the fastest growing companies from YC’s W25 batch and raised a heavily oversubscribed round at one of the highest valuations in our cohort. After surpassing $1M in ARR in under a year, we are looking for team members ready to go all-in to help us reach our next milestone: $10M ARR by the end of 2026. One of our co-founders, Lukas, grew up in a trades family that has been active in the construction industry for over 115 years. Having worked on the construction site himself, he learned first-hand how slow and manual quoting still is in the industry. In an era where AI becomes ubiquitous, we set out on a deeply personal mission: bring AI to the backbone of our economy - to the companies that keep our world running. 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

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 €750/month

Access to any AI or productivity tools you need

Technology

Software Stack: Typescript, Python, React, Next, Docker, Terraform, Postgres

AI Stack: Vector databases, LLMs, Embeddings, observability & evals

Interview Process

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 💡 At Mercura, we value our applicants' time. That's why we compensate you with €50 if we ask you to complete a take-home challenge. 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. The call will also include a brief algorithmic live-coding 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.