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(Senior) AI/LLM Engineer

  • Office
  • 6+ years

Salary

Not stated

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Description

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

Responsibilities

  • Sean (https://www.linkedin.com/in/sean-sdahl/) (Co-Founder & CTO; Silver Medallist at the International Physics Olympiad (IPhO))
  • Kolya (https://www.linkedin.com/in/kolya-krafeld/) (prev. SWE at SF-based startup Etleap)
  • Gabriel (https://www.linkedin.com/in/gabriel-hauss/) (built Maastricht University's course selection system; Oxford graduate)
  • Admir (https://www.linkedin.com/in/azatega/) (Bronze Medallist at the International Olympiad in Informatics (IOI))
  • Nico (https://www.linkedin.com/in/nico-stabla/) (prev. Engineering at SaaS startups Luminovo & Fides)
  • Your mentors will be
  • Rohan Ramanath (https://www.linkedin.com/in/rohanramanath/) (General Manager AI Product at Nubank, prev. co-founder Hyperplane)
  • Daniel Ribeiro Silva (https://www.linkedin.com/in/danielribeirosilva/) (Senior Director of ML at Nubank, prev. co-founder Hyperplane)
  • Why the company
  • Join an ambitious and caring team : Your future colleagues are experienced operators, ex-founders, Science Olympiad medallists, and top graduates from places such as Google, Bain, MIT, TUM, Harvard, CDTM, and Cambridge. We bring extraordinary people together and deeply invest in your growth as your mentors, teammates and friends. We care, trust, and support one another, and we make sure that fun is at the heart of everything we do.
  • 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’re growing extremely fast because we always put our work and our customers first. If you excel in fast-paced settings and want to grow as part of something big from day one, the company is for you.
  • Build something with real-world impact : We ship code that directly helps a massive, yet overlooked manual industry run more efficiently and sustainably. With us, you can work on AI that contributes to economic growth and stability on a huge scale.
  • Build a company : As an early team member, you will have a direct, lasting impact on our culture, processes, technology, and product. Joining us offers immense rewards: ownership, financial upside, and hands-on experience building a company from the ground up. Our track record speaks for itself - over five the company alumni have gone on to found their own companies and raise millions after their time with us.
  • About the interview
  • Intro Call – Casual chat with one of our founders to get to know each other and learn about the company.
  • Technical Take-Home – A 3-hour exercise based on a real problem from our work
  • Technical Interview – Present your results in a 45-minute session and discuss your approach.
  • On-Site – Get to know the team at our Munich office.
  • Offer – If we see a great fit, we'll make you an offer. Once you accept, we'll do 2–3 reference checks.
  •  
  • About the Founders
  • We are Lukas, Stefan & Sean , the co-founders of the company.
  • We share a deep commitment to excellence and the discipline to pursue what others might consider impossible.
  • Two of us come from non-academic families, and we all know what it means to create our own paths and overcome barriers. This experience shapes our belief in equal opportunity and fuels our dedication to social mobility.
  • Lukas (left) is responsible for business development at the company. With his background as a Data Scientist at Allianz and at Google in Silicon Valley, he brings extensive expertise in data and AI. Lukas’ family has been active in the construction industry for over 100 years, giving him a deep understanding and passion for the sector's specific needs.
  • Sean (middle) is responsible for technical development at the company. As a top 0.01% physicist, Sean earned a Silver medal for Germany at the International Physics Olympiad (IPhO), began researching with the Max Planck Institute at the age of 16, and has since published at leading machine learning conferences.
  • Stefan (right) leads product development at the company. Previously, he worked in management consulting at Bain & Company, where he helped manufacturers improve their operations. Stefan leverages his research experience at the Massachusetts Institute of Technology (MIT) and Harvard Business School to develop innovative solutions for the industry.
  • At the company, we believe that the best ideas emerge when people from different backgrounds collaborate together. We hire based on ability, mindset, and values, and we live by one simple rule: the best idea wins.
  • Beyond the company, we actively support initiatives that promote diversity and gender equity and commit a portion of our personal income each year to organizations expanding opportunity for others.
  • ![](https://app.ashbyhq.com/api/images/user-content/aea8071f-e224-4680-b825-9d15c5a9df28/8836b971-88e3-4b84-bebc-66dc92a82ee7/founders-1-2%20(1).jpg)
  •  
  • Our company values
  • Customer first. We stay close to our customer’s reality and use their feedback to build what truly matters and earn their lasting trust.
  • Ownership. We take responsibility end-to-end and act proactively to pursue the most ambitious goals.
  • Enjoy the ride. We build a culture where people can be themselves, have fun doing meaningful work, and celebrate wins along the way.
  • Let the best ideas win. We challenge each other respectfully and judge ideas by merit, not who said it.
  • Down-to-earth. We are approachable, humble, and hands-on, bringing both heart and mind to everything we do.
  • Experience: 5+ years
  • Visa: US citizen/visa only

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

Benefits

  • Steepest possible learning curve: There's no faster way to grow than building a company from scratch. You'll be thrown into the cold water, do things no one has done before, and have founder-like freedom in your domain. Over five the company alumni have gone on to found their own companies and raise millions after their time with us.
  • Build something with real-world impact : We ship code that directly helps a massive, yet overlooked manual industry run more efficiently and sustainably. With us, you can work on AI that contributes to economic growth and stability on a huge scale.
  • Ownership over comfort: You own a real area end to end. No one stands between you and your problem. It's uncomfortable at times, and that's exactly why you'll grow faster here than in any normal job.
  • Exceptional colleagues: You'll work alongside experienced operators, ex-founders, Science Olympiad medallists, and top graduates from Google, Bain, MIT, TUM, Harvard, CDTM, Oxford, and Cambridge. The bar stays high because the people next to you are the biggest lever for your growth.
  • Radical clarity: You'll always know where the company stands and why we decide what we decide — the real numbers, the wins and the setbacks, and the thinking behind them. Your input is genuinely wanted, and the best argument wins.
  • Tools, no questions: Your own company card and any AI or productivity tools you need to do your best work, without approval theater.
  • Real shares: Real equity in the company with the most favorable tax treatment. No VSOP, no ESOP.
  • The everyday: Free team dinners up to 4x/week, UrbanSportsClub membership, a company bike, and team workouts 3x/week. Easy relocation to Munich — our office sits in the WERK1 startup incubator, with an apartment next door for around €800/month.

Where you’d work

From the office

Relocation offered

No visa sponsorship

About the company

Company hidden

Office in Munich, Germany

Your chances

Likely still hiring, moderately crowded, and a person reads your message.

  • 18 checks run
  • 5 good signs
  • 3 red flags

Still hiring?

12 checks

Likely active

In its favour2

  • Still on the company's own careers site, checked 3 h agoModerate evidence
  • A hiring contact is attached to itSlight evidence

Against it1

  • None of the company's 6 open roles was posted in the last 2 weeksModerate evidence

How crowded?

6 checks

Moderate

In its favour3

  • You can message the hiring contact and skip the queueModerate evidence
  • In the office in Munich: only people nearby can take itSlight evidence
  • Senior level: far fewer people qualifySlight evidence

Against it2

  • Open for 2 weeks: applications have had time to pile upModerate evidence
  • Offers relocation: people from other countries apply tooSlight evidence
32 roles like this are in their Early WindowFound before the big job boards, while the crowd hasn’t arrived

Fits Me

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  • Must-haves
Details14 facts · Role, Location, Compensation, Employment
Tech stack
  • React
  • TypeScript
  • Python
  • LLMs
  • RAG
Seniority
Senior
Type
Full-time
Equity
Equity offered
Specialty
ML
Region
Europe
Show 8 more factsShow less

Role

Category
Data & Analytics
Specialty
ML
Seniority
Senior
Experience
5+ years
Tech stack
  • React
  • TypeScript
  • Python
  • LLMs
  • RAG

Location

Work model
Office
Region
Europe
Office
  • Munich, Germany
Relocation
Offered
Visa sponsorship
Not sponsored

Compensation

Salary
Salary by agreement
Pay period
Annual
Equity
Equity offered

Employment

Type
Full-time

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