GenAI Engineer for GenAI Startup (w/m/d)
GenAI Engineer for GenAI Startup (w/m/d)
GenAI Engineer for GenAI Startup (w/m/d)
GenAI Engineer for GenAI Startup (w/m/d)
SelectCode
Computer-Software
München
- Art der Beschäftigung: Vollzeit
- 55.000 € – 80.000 € (Unternehmensangabe)
- Hybrid
- Aktiv auf der Suche
GenAI Engineer for GenAI Startup (w/m/d)
Über diesen Job
We've hit Product-Market Fit. Our AI platform meinGPT already serves 10k+ users across 250+ companies, and now we're scaling. Your challenge: Help us grow to 100k users.
Our Mission
Our mission for meinGPT is to bring AI to the core of the SME sector. We're building the central, all-in-one platform that makes powerful AI accessible to everyone. Our core challenge: Crafting a UX so intuitive so that anyone can master AI and build the technical foundation to handle millions of secure LLM calls per month. Your work will define how thousands of people interact with AI daily.
Our engineering challenges for 2026:
- Synchronize and index terabytes of client data and handle their permissions
- Process millions of LLM calls per month and our users expect high reliability
- Spawn thousands of code sandboxes per day which must run in a scalable and secure way
- Build the base infrastructure for our custom integrations team so that they can integrate new systems within few hours
Tasks
Your Mission
- Design, build, and maintain robust API integrations and MCP servers that connect our AI platform to diverse customer systems (ERPs, databases, internal APIs).
- Take ownership of features from concept to deployment, ensuring they are reliable, secure, and performant.
- Build and test rapid prototypes to explore new AI technologies and evaluate their feasibility for production use cases.
Example projects
- Extend our on-premise Data Vault to securely synchronize and index a new, unstructured data source for an enterprise client.
- Build a custom MCP server to integrate a new third-party service (e.g., HR tool Personio) into our platform's ecosystem.
- Design and prototype a support bot trained on a 200k+ email archive, evaluating its performance and path to production.
- Implement a scalable data ingestion pipeline to process and chunk several gigabytes of PDF documents for use in our AI context.
Requirements
What We Are Looking For
- You have professional experience in a modern programming language, preferably Python or TypeScript.
- You have built GenAI applications that go beyond a standard RAG pipeline and understand what it takes to create production-ready AI solutions.
- You think beyond your own code and care about the big picture: how the product feels to users and how it succeeds as a whole.
- You are a quick learner and really enjoy the fast pace and high-growth environment that comes with a scaling product.
Benefits
What's In It For You
- Learn to build production-ready API integrations and GenAI applications - for real-world use cases with real impact.
- Directly shape the product and its architecture during our critical 1M → 10M ARR growth phase. Your work will be used by thousands of users from day one.
- Enjoy flexible working hours with the option of 2 days/week in the home office.
- Further perks like the access to 10,000+ sports facilities with the EGYM Wellpass, a €1,000 annual learning budget and the Deutschlandticket.
How We Work
We have a development process built for speed, quality, and focus. Some insights:
- We use AI tools (Cursor, Claude Code etc.) daily to be faster and smarter, but you remain in full control and responsible for your code.
- We minimize meetings and even make dailies optional to protect your deep work time.
- Healthy Ambition: We have huge goals but are committed to a healthy work environment - and make sure that our people are feeling well.
- Fast Delivery, Close to the User: We ship fast, stay close to our customers, and let their direct feedback drive our next steps.
- Security & Reliability First: As an enterprise platform, the security of customer data and the reliability of our systems are our highest priorities.
Our stack
- Core stack: React, TypeScript, tRPC, PostgreSQL, Kubernetes, Docker
- AI & Dev Tools: Cursor, Claude Code, CodeRabbit, Linear, Notion
- AI Services integrated into the Platform: OpenAI, Gemini, Claude, Mistral, Perplexity, Flux, Gladia (audio transcription)
Next Steps
Application: Submit your profile through our short form.
- Intro Call (30 min): A short chat about your motivation and our mutual expectations.
- Technical Interview (Remote, 90 min): A live coding session to showcase your skills.
- Founders Interview (On-site, 90 min): Meet the founders at our office and discuss your experience and ambitions.
- Offer: If it's a great fit for both sides, we'll make you an offer.
Please apply directly on our website - other applications will not be considered.