Founding AI Agent Engineer at nexwise

Stellenbeschreibung:

We're building agentic AI that masters product complexity for industrial companies. We've raised our pre-seed round from top-tier angels and VCs and are working with German industrial manufacturers with >€1Bn revenue. Our guided selling AI agents help customers find the right product reliably, and we're building nexus – our product data layer for AI agents across sales, support, marketing and product management.

What you'll do

Build our agent platform from the ground up: the runtime, interfaces, and core modules for reliable AI agents in enterprise environments
Develop and ship AI agents end-to-end for customer use cases (guided selling, product expertise) and internal data workflows
Design agent toolchains: define tools, schemas, permissions, and reusable patterns so agents can safely search, reason, act, and explain
Turn messy reality into dependable systems by integrating agents with enterprise software and data sources
Build evaluation, monitoring, and observability for agents: traceability, quality metrics, regression tests, prompt/version management
Prototype and productionize LLM-powered reasoning and enrichment across product data and workflows
Collaborate closely with customers and the team to turn ambiguous requirements into shippable agent behavior

You're a great fit if you

Have built with modern agent frameworks (e.g., LangGraph or similar) and know when to use them vs. rolling your own
Are fluent in orchestration and tool use – you've implemented multi-step agents and know how to make them predictable and debuggable
Know how to evaluate and improve agents through testing, evals, instrumentation, and feedback loops
Care deeply about safety and correctness – you build guardrails, permissions, and validation to catch issues before customers do
Can work with messy data and deliver consistent, queryable output for agents