platform engineer for AI products

MeinGPT develops a central use-case platform that makes powerful AI accessible to the SME sector. Its mission is to put AI at the center of the SME sector and make it intuitive for everyone to use effectively.

• Build and own the foundation for AI products that integrate, move, and process data across external sources and distributed services
• Design systems for real-world load, including real-time context assembly, coherent streaming responses, and LLM request routing with provider fallback and cost logic
• Monitor latency distributions, cost curves, and error rates, and act before they become user problems
• Build a platform that becomes more capable and reliable as it grows to 100,000 users
• Add instrumentation when data is missing for well-founded decisions
• Share context, tradeoffs, and open questions to help other engineers improve their work

• Have work authorization for Germany
• Have 3+ years of TypeScript experience in production backend systems, with a backend focus and the ability to contribute to frontend work
• Design systems for sustained load, anticipating failure modes and cost changes as traffic grows
• Have strong system design knowledge, including PostgreSQL, APIs, queues, and caching, and know when and why to use them
• Have experience with containerized deployments using Docker and Kubernetes, and related operational practices
• Trace latency patterns, cost spikes, and error-rate trends to their root causes and resolve them properly
• Share knowledge and help other engineers improve their work
• Have fluent English (C1); German is not required

• Условий в вакансии нет