Principal AI Solutions Architect — Real-Time, Multi-Agent ML

Team.Blue

Toscana

On-site

EUR 150,000 - 190,000

Full time

33 hours ago
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Job summary

Team.Blue in Toscana, Italy seeks a Principal AI Solutions Engineer to own end-to-end AI systems, set technical direction, and ship production AI across a fast-moving team. You will lead across model research, fine-tuning, agent-based orchestration, and real-time inference for hosting, domains, email, and SaaS for millions of SMBs.

Responsibilities include evolving multi-agent orchestration platforms, building low-latency voice AI pipelines, and developing RAG pipelines with rigorous quality

Qualifications

  • 8+ years in ML Engineering, with leadership experience.
  • Hands-on production LLMs experience: fine-tuning, RLHF/DPO, prompt engineering.
  • Proficient in Python and core ML stack (PyTorch, Transformers, PEFT/LoRA).
  • Experience with latency-sensitive LLM inference (vLLM, TensorRT-LLM, or TGI).
  • Knowledge of multi-agent orchestration, tool-use, and observability.
  • Awareness of LLM risk management (privacy, data leakage, hallucination).

Responsibilities

  • Architect and evolve multi-agent orchestration platform (Hermes / Multica).
  • Design and implement voice AI pipelines 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.
  • Fine-tune and evaluate LLMs for domain tasks and production lifecycle.
  • Own AI observability stack (tracing, instrumentation, cost tracking).
  • Drive ML CI/CD, shadow deployments, canary releases; mentor engineers.

Skills

Leadership experience
Python proficiency
LLM fine-tuning
RAG & hybrid search
Observability & tooling
Communication skills
Mentorship

Tools

PyTorch
Transformers
PEFT/LoRA

Job description

Team.Blue in Toscana, Italy seeks a Principal AI Solutions Engineer to own end-to-end AI systems, set technical direction, and ship production AI across a fast-moving team. You will lead across model research, fine-tuning, agent-based orchestration, and real-time inference for hosting, domains, email, and SaaS for millions of SMBs.

Responsibilities include evolving multi-agent orchestration platforms, building low-latency voice AI pipelines, and developing RAG pipelines with rigorous quality

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