About this role

Develop production-grade AI systems that take over and fully automate fleet processes end-to-end
Focus on LLM agents (text & voice), robust RAG pipelines, clean backend integration, and production readiness
Goal: Zero-Click Fleet Management — AI answers calls, makes decisions, and triggers processes reliably, measurably, and cost-controlled

Degree or vocational training in Computer Science, Software Engineering, Data Science, AI — or equivalent practical experience
Experience writing production-quality code
Experience operating AI systems in production
Proven responsibility for stability, cost control, and quality
LLM & Agent Systems: agent flows, tool-calling, structured outputs, deterministic behavior
Backend Engineering: Python (FastAPI, Pydantic), APIs, microservices, event-driven architecture
RAG & Retrieval: chunking, embeddings, hybrid search, context control
Production Engineering: observability, error handling, CI/CD, cost & token control
Systemic/cross-functional work: collaboration with backend, product, and platform teams

AI Engineer – Zero-Click Fleet Management

Key skills