About meinGPT
We've hit Product-Market Fit. Our AI platform already serves 100k+ users across 250+ companies, and now we're scaling. Your challenge: Help us grow to 1M users.
Our Mission
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
Your Responsibilities
- Build and ship high-quality, full-stack features using TypeScript and React, with a strong focus on creating a seamless and intuitive user experience.
- Design and implement robust backend systems capable of handling a massive scale of data and millions of API requests.
- Take full ownership of features from concept and deployment through to operation, ensuring they are reliable, secure, and performant.
- Debug issues in production, identify root causes and implement solutions to ensure a stable platform for users.
- Help mentor junior colleagues and improve our codebase through constructive, thorough code reviews.
Why GenAI full stack engineering is full of exciting challenges:
- Context Engineering: An AI agent is only as good as its context. The core challenge is assembling the perfect context in real-time from multiple, diverse data sources to make the agent powerful and accurate.
- Scale: We process terabytes of sensitive customer data - while fulfilling all requirements about performance, correctness, reliability, and security.
- UI/UX: The challenge is creating intuitive interfaces for new interaction patterns like real-time streaming, live progress, and multi-modal inputs (text, voice, image).
What You Bring
- 3+ years of professional experience software engineering and our core technologies (React, TypeScript & PostgreSQL) and the surrounding ecosystem (Docker, CI/CD)
- Strong sense of product ownership: 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.
What's In It For You
- Learn how to build a scalable AI platform, make critical product decisions in a high-growth startup, and integrate the cutting-edge AI technology
- 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, Python, 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)
What Happens Next
- 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.
FAQ
Frequently asked questions about this role
01What kind of impact will I have in this role?
You'll work on core parts of the product that directly affect real users. This is not a "maintenance" role, your decisions will influence architecture, scalability, reliability, and user experience as the company grows.
02Is this role more focused on engineering or product?
Both. We value strong engineering fundamentals, but we also expect you to think like a product owner, understanding user needs, tradeoffs, and long-term impact beyond just writing code.
03How does the team approach AI tools in development?
We actively use AI tools to improve speed and quality, but responsibility stays with the engineer. AI assists your workflow, it doesn't replace engineering judgment or ownership.
04What does success look like in the first 3–6 months?
You've shipped meaningful features, improved or stabilized a critical part of the system, earned the trust of the team, and started influencing technical decisions and engineering standards.
05What does the interview process assess?
We look for problem-solving ability, system thinking, communication, and ownership, not trick questions or memorization. Interviews reflect real work you'd do on the job.
06What kind of people thrive at meinGPT?
People who take ownership, act proactively, and enjoy turning ambiguity into results. We value clear thinking, open communication, and a bias toward action. If you like learning fast, working close to real users, and taking responsibility for outcomes you'll feel at home here.
07How do teams collaborate and make decisions?
We work with high trust and low friction. Decisions are made close to the problem, communication is direct and transparent, and we avoid unnecessary meetings. We move fast, but we also care deeply about quality, security, and long-term sustainability.
08How does meinGPT support growth and well-being?
We believe sustainable performance beats short-term hustle. You'll get real responsibility, continuous learning opportunities, and room to grow while flexible work, clear priorities, and a healthy team environment help you do your best work over the long term.
