Senior AI Systems Engineer — Production ML

team.blue is building the AI layer that runs across one of Europe's largest digital-services ecosystems, powering hosting, domains, email, and SaaS for millions of SMBs. As Principal AI Solutions Engineer you will be the senior technical authority on AI systems end-to-end: from model research and fine-tuning through agentic orchestration, real-time inference, and production reliability.

This is not a research-only role and not an MLOps-only role.

Architect and evolve our multi-agent orchestration platform with plugin systems and tool-use pipelines. Design and implement voice AI pipelines - STT, real-time TTS, VAD, telephony integration with low latency. Build and maintain RAG pipelines with retrieval quality measurement and hybrid search. Define MCP server architecture and tool-use contracts across integrations. Drive CI/CD for ML: automated eval gating, shadow deployments, canary releases and rollback triggers. Mentor ML engineers and applied scientists; align with Product and Commercial teams. 8+ years in ML Engineering, Applied AI, or Research Engineering. 2+ years in a lead or staff-level role. Hands-on experience with LLMs in production: fine-tuning, RLHF/DPO, prompt engineering, RAG. Proficient Python and the core ML stack: PyTorch, Transformers, PEFT/LoRA. Experience with LLM inference serving - vLLM, TensorRT-LLM, or TGI - in latency-sensitive production environments. Knowledge of agentic frameworks: multi-agent coordination, tool-use orchestration, context/memory management. Awareness of LLM-specific risk: hallucination, prompt injection, data leakage, fairness, privacy.