Description
The role designs and develops AI-supported backend systems, integrates LLMs through APIs, orchestrates autonomous multi-agent systems, implements semantic search and vector-database architectures, and builds data pipelines for GenAI. The engineer owns AI features from prototyping through integration, works with customers in agile sprints, and requires Python, LLM orchestration, API design, DevOps, and agile knowledge. The position is mostly remote with flexible office or home-office arrangements and occasional customer support.
