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About the Role
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 role involves both research and MLOps, setting technical direction, shipping production AI, and raising the bar across a fast-moving team.
Responsibilities
- Architect and evolve the multi-agent orchestration platform, including plugin systems, tool-use pipelines, observability hooks, and channel adapters.
- Design and implement voice AI pipelines with sub-300 ms end-to-end latency targets.
- Build and maintain RAG pipelines with retrieval quality measurement, re-ranking, and hybrid search.
- Define MCP server architecture and tool-use contracts across internal and third-party integrations.
- Fine-tune and evaluate LLMs for domain-specific tasks.
- Evaluate and benchmark model quality using automated evals, human preference data, and domain-specific metrics.
- Manage model lifecycle: experiment tracking, versioning, reproducibility, and promotion to production.
- Own the AI observability stack: Langfuse tracing, LLM call instrumentation, cost tracking, and quality regression alerting.
- Define and enforce guardrails: hallucination detection, PII redaction, output safety scanning, and rate-limiting.
- Build data ingestion, preprocessing, and feature pipelines supporting model training and continual learning.
- Drive CI/CD for ML: automated eval gating, shadow deployments, canary releases, and rollback triggers.
- Set architectural standards for AI systems across the group; conduct design reviews and own ADRs for major decisions.
- Mentor ML engineers and applied scientists; grow the team's capabilities in production AI.
- Collaborate with Product and Commercial teams to translate business problems into ML problem formulations.
- Engage with external research partners and track emerging work to identify signals worth productionizing.
Requirements
- 8+ years in ML Engineering, Applied AI, or Research Engineering with at least 2 years in a lead or staff-level role.
- Deep, hands-on experience with LLMs in production: fine-tuning, RLHF/DPO, prompt engineering, RAG, and tool use.
- Fluent in Python and the core ML stack: PyTorch, Transformers (HuggingFace), PEFT/LoRA.
- Real experience with LLM inference serving - vLLM, TensorRT-LLM, or TGI - in a latency-sensitive production environment.
- Practical knowledge of agentic frameworks: multi-agent coordination, tool-call orchestration, context/memory management, and observability (Langfuse, Opik, or equivalent).
- Solid understanding of MLOps: experiment tracking (MLflow/W&B), model registries, containerization (Docker/Kubernetes), and CI/CD for ML.
- Awareness of LLM-specific risk: hallucination, prompt injection, data leakage, fairness, and privacy - and how to mitigate them in production.
- Strong communication skills: ability to write crisp design docs, run productive architecture reviews, and explain tradeoffs to non-technical stakeholders.
- At any stage, please be prepared to provide proof of eligibility to work in the country you're applying for.
- No relocation packages or visa sponsorship available.
Skills
- Python
- PyTorch
- HuggingFace Transformers
- PEFT/LoRA
- vLLM
- TensorRT-LLM
- TGI
- Langfuse
- Opik
- MLflow
- Weights & Biases
- Docker
- Kubernetes
- Hermes
- Multica
- STT (VibeVoice-ASR, Whisper)
- TTS (VibeVoice-Realtime)
- VAD (Silero)
- SIP/RTP telephony
- RAG
- MCP server design
- Multimodal models
- Quantization techniques (GPTQ, AWQ, GGUF)
Experience Level
- 8+ years in ML Engineering, Applied AI, or Research Engineering
- At least 2 years in a lead or staff-level role
About the Company
- team.blue is an ecosystem of 60+ successful brands working together across 22 European countries.
- Provides 3.3 million SMB customers with everything they need to succeed online.
- Offers best-in-class expertise and services.
- Brands include traditional hosting businesses (domain names, email, shared hosting, e-commerce, server hosting) and specialist SaaS providers (compliance, marketing tools, team collaboration products).
- A one-stop partner for online businesses and entrepreneurs across Europe.
- Commitment to caring for the environment and each other.
- Ongoing ESG efforts and ambitious sustainability goals.
Equal Opportunity
- Everyone is welcome here. Diversity & Inclusion are at our core.
- Value respect, openness, and trusted collaboration.
- Do not tolerate intolerance.