Bjak - Germany - Global - Engineering & Technical
There are over 5 billion users using basic applications today such email, notes, tasks, calendar and they're not AI-native. Our mission is to build proactive applications for anyone in the world, who are not used to complex prompting. We aim to bring intelligence to conversations, errands, organising and workflows, with minimal to no prompting.
Our first application is an agent-first mobile communication app. We believe building applications that users use daily for communication, coordination and collaboration needs will help integrate AI into their lives. The net effect is to eliminate misinformation, achieve low coordination costs, enable high quality tasks and collaboration at scale with minimal or little prompting.
We are looking for a Full Stack Engineer - AI Systems to build the product layer that turns these capabilities into usable, production-grade workflows. This includes designing how agents operate, fail, recover, and deliver consistent value to users.
Build end-to-end product features across frontend, backend, and AI integrations
Design agent workflows that handle planning, tool use, failure, and recovery across multiple steps.
Integrate LLMs, memory, and external tools into systems that behave reliably under real-world conditions
Design real-time AI interactions with streaming, partial results, and tight latency constraints
Improve system reliability, observability, and fallback mechanisms
Collaborate closely with ML, backend, and product teams to ship features end-to-end
Continuously iterate based on real usage and failure modes
Strong experience in full stack engineering (frontend + backend)
Solid understanding of system design and API architecture
Experience working with LLMs, RAG systems, or AI-powered applications
Ability to handle ambiguity and make pragmatic engineering decisions
Strong ownership - able to take features from idea to production
Comfort working in fast-moving environments with evolving requirements
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