Senior Ai/Ml Engineer
h3Company /h3 pteam.blue is an ecosystem of 60+ successful brands working together across 22 European countries to provide its 3.3 million SMB customers with everything they need to succeed online by offering best-in-class expertise and services.
/p pteam.blue's brands are a mix of traditional hosting businesses that offer services from domain names, email, shared hosting, e-commerce, and server hosting solutions and, as specialist SaaS providers, adjacent products such as compliance, marketing tools, and team collaboration products.
This broad product offering makes it a one-stop partner for online businesses and entrepreneurs across Europe.
/p h3Position /h3 pteam.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.
/p pAs 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.
/p pThis is not a research-only role and not an MLOps-only role.
You will do both, setting technical direction, shipping production AI, and raising the bar across a team that is moving fast.
/p h3Responsibilities /h3 h3Agentic AI Systems /h3 ul lipArchitect and evolve our multi-agent orchestration platform (currently built on Hermes / Multica), including plugin systems, tool-use pipelines, observability hooks, and channel adapters (voice, telephony, messaging) /p /li lipDesign and implement voice AI pipelines - STT (VibeVoice-ASR, Whisper), real-time TTS with streaming (VibeVoice-Realtime), VAD (Silero), SIP/RTP telephony integration - with sub-300 ms end-to-end latency targets /p /li lipBuild and maintain RAG pipelines with retrieval quality measurement, re-ranking, and hybrid search over vector + keyword indexes /p /li lipDefine MCP server architecture and tool-use contracts across internal and third-party integrations /p /li /ul h3Model Development Fine-Tuning /h3 ul lipFine-tune and evaluate LLMs (LoRA, QLoRA, DPO) for domain-specific tasks including customer support, classification, and structured extraction /p /li lipEvaluate and benchmark model quality using automated evals,
human preference data, and domain-specific metrics (WER, DER, cpWER for speech; RAGAS / LLM-as-judge for RAG) /p /li lipManage model lifecycle: experiment tracking, versioning, reproducibility, and promotion to production /p /li /ul h3Observability Reliability /h3 ul lipOwn the AI observability stack: Langfuse tracing, span-level LLM call instrumentation, cost tracking, and quality regression alerting /p /li lipDefine and enforce guardrails: hallucination detection, PII redaction, output safety scanning, and rate-limiting across multi-tenant deployments /p /li /ul h3Platform Pipelines /h3 ul lipBuild data ingestion, preprocessing, and feature pipelines supporting model training and continual learning /p /li lipDrive CI/CD for ML: automated eval gating, shadow deployments, canary releases, and rollback triggers /p /li /ul h3Technical Leadership /h3 ul lipSet architectural standards for AI systems across the group; conduct design reviews and own ADRs for major decisions /p /li lipMentor ML engineers and applied scientists; grow the team's capabilities in production AI, not just prototype AI /p /li lipCollaborate with Product and Commercial teams to translate business problems into ML problem formulations with clear success metrics /p /li lipEngage with external research partners and track emerging work (arXiv, conference proceedings, open-source releases) to identify signals worth productionizing /p /li /ul h3Profile /h3 ul lip8+ years in ML Engineering, Applied AI, or Research Engineering with at least 2 years in a lead or staff-level role /p /li lipDeep, hands-on experience with LLMs in production: fine-tuning, RLHF/DPO, prompt engineering, RAG, and tool use /p /li lipFluent in Python and the core ML stack: PyTorch, Transformers (HuggingFace), PEFT/LoRA /p /li lipReal experience with LLM inference serving - vLLM,
TensorRT-LLM, or TGI - in a latency-sensitive production environment /p /li lipPractical knowledge of agentic frameworks: multi-agent coordination, tool-call orchestration, context/memory management, and observability (Langfuse, Opik, or equivalent) /p /li lipExperience with speech AI (ASR/TTS pipelines) or real-time audio systems is a strong plus /p /li lipSolid understanding of MLOps: experiment tracking (MLflow/WB), model registries, containerization (Docker/Kubernetes), and CI/CD for ML /p /li lipAwareness of LLM-specific risk: hallucination, prompt injection, data leakage, fairness, and privacy - and how to mitigate them in production /p /li lipStrong communication skills: you can write a crisp design doc, run a productive architecture review, and explain tradeoffs to a non-technical stakeholder /p /li /ul h3Nice to Have /h3 ul lipExperience with voice pipelines end-to-end: VAD - ASR - LLM - TTS - SIP/RTP telephony /p /li lipMulti-hop RAG with self-consistency, chain-of-thought reranking, or RAPTOR-style hierarchical retrieval /p /li lipFamiliarity with MCP (Model Context Protocol) server design and tool-use contracts /p /li lipContributions to open-source ML projects or published work (arXiv, NeurIPS, ACL, Interspeech, etc.) /p /li lipExperience with multimodal models (vision-language, audio-language) /p /li lipKnowledge of quantization techniques (GPTQ, AWQ, GGUF) and their quality/latency tradeoffs /p /li /ul h3Right to Work /h3 pAt any stage, please be prepared to provide proof of eligibility to work in the country you're applying for.
Unfortunately, we can't support relocation packages or visa sponsorship.
/p h3Come as You Are /h3 pEveryone is welcome here.
Diversity Inclusion are at our core.
Far above any technical competence, we value respect, openness, and trusted collaboration.
We do not tolerate intolerance.
/p h3ESG /h3 pAt team.blue, our commitment to caring for the environment and each other is at the heart of everything we do.
Our latest impact report showcases our ongoing ESG efforts and ambitious sustainability goals.
Interested in learning more about our dedication to making a positive impact?
Check it out here.
/p #J-*****-Ljbffr
/p pteam.blue's brands are a mix of traditional hosting businesses that offer services from domain names, email, shared hosting, e-commerce, and server hosting solutions and, as specialist SaaS providers, adjacent products such as compliance, marketing tools, and team collaboration products.
This broad product offering makes it a one-stop partner for online businesses and entrepreneurs across Europe.
/p h3Position /h3 pteam.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.
/p pAs 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.
/p pThis is not a research-only role and not an MLOps-only role.
You will do both, setting technical direction, shipping production AI, and raising the bar across a team that is moving fast.
/p h3Responsibilities /h3 h3Agentic AI Systems /h3 ul lipArchitect and evolve our multi-agent orchestration platform (currently built on Hermes / Multica), including plugin systems, tool-use pipelines, observability hooks, and channel adapters (voice, telephony, messaging) /p /li lipDesign and implement voice AI pipelines - STT (VibeVoice-ASR, Whisper), real-time TTS with streaming (VibeVoice-Realtime), VAD (Silero), SIP/RTP telephony integration - with sub-300 ms end-to-end latency targets /p /li lipBuild and maintain RAG pipelines with retrieval quality measurement, re-ranking, and hybrid search over vector + keyword indexes /p /li lipDefine MCP server architecture and tool-use contracts across internal and third-party integrations /p /li /ul h3Model Development Fine-Tuning /h3 ul lipFine-tune and evaluate LLMs (LoRA, QLoRA, DPO) for domain-specific tasks including customer support, classification, and structured extraction /p /li lipEvaluate and benchmark model quality using automated evals,
human preference data, and domain-specific metrics (WER, DER, cpWER for speech; RAGAS / LLM-as-judge for RAG) /p /li lipManage model lifecycle: experiment tracking, versioning, reproducibility, and promotion to production /p /li /ul h3Observability Reliability /h3 ul lipOwn the AI observability stack: Langfuse tracing, span-level LLM call instrumentation, cost tracking, and quality regression alerting /p /li lipDefine and enforce guardrails: hallucination detection, PII redaction, output safety scanning, and rate-limiting across multi-tenant deployments /p /li /ul h3Platform Pipelines /h3 ul lipBuild data ingestion, preprocessing, and feature pipelines supporting model training and continual learning /p /li lipDrive CI/CD for ML: automated eval gating, shadow deployments, canary releases, and rollback triggers /p /li /ul h3Technical Leadership /h3 ul lipSet architectural standards for AI systems across the group; conduct design reviews and own ADRs for major decisions /p /li lipMentor ML engineers and applied scientists; grow the team's capabilities in production AI, not just prototype AI /p /li lipCollaborate with Product and Commercial teams to translate business problems into ML problem formulations with clear success metrics /p /li lipEngage with external research partners and track emerging work (arXiv, conference proceedings, open-source releases) to identify signals worth productionizing /p /li /ul h3Profile /h3 ul lip8+ years in ML Engineering, Applied AI, or Research Engineering with at least 2 years in a lead or staff-level role /p /li lipDeep, hands-on experience with LLMs in production: fine-tuning, RLHF/DPO, prompt engineering, RAG, and tool use /p /li lipFluent in Python and the core ML stack: PyTorch, Transformers (HuggingFace), PEFT/LoRA /p /li lipReal experience with LLM inference serving - vLLM,
TensorRT-LLM, or TGI - in a latency-sensitive production environment /p /li lipPractical knowledge of agentic frameworks: multi-agent coordination, tool-call orchestration, context/memory management, and observability (Langfuse, Opik, or equivalent) /p /li lipExperience with speech AI (ASR/TTS pipelines) or real-time audio systems is a strong plus /p /li lipSolid understanding of MLOps: experiment tracking (MLflow/WB), model registries, containerization (Docker/Kubernetes), and CI/CD for ML /p /li lipAwareness of LLM-specific risk: hallucination, prompt injection, data leakage, fairness, and privacy - and how to mitigate them in production /p /li lipStrong communication skills: you can write a crisp design doc, run a productive architecture review, and explain tradeoffs to a non-technical stakeholder /p /li /ul h3Nice to Have /h3 ul lipExperience with voice pipelines end-to-end: VAD - ASR - LLM - TTS - SIP/RTP telephony /p /li lipMulti-hop RAG with self-consistency, chain-of-thought reranking, or RAPTOR-style hierarchical retrieval /p /li lipFamiliarity with MCP (Model Context Protocol) server design and tool-use contracts /p /li lipContributions to open-source ML projects or published work (arXiv, NeurIPS, ACL, Interspeech, etc.) /p /li lipExperience with multimodal models (vision-language, audio-language) /p /li lipKnowledge of quantization techniques (GPTQ, AWQ, GGUF) and their quality/latency tradeoffs /p /li /ul h3Right to Work /h3 pAt any stage, please be prepared to provide proof of eligibility to work in the country you're applying for.
Unfortunately, we can't support relocation packages or visa sponsorship.
/p h3Come as You Are /h3 pEveryone is welcome here.
Diversity Inclusion are at our core.
Far above any technical competence, we value respect, openness, and trusted collaboration.
We do not tolerate intolerance.
/p h3ESG /h3 pAt team.blue, our commitment to caring for the environment and each other is at the heart of everything we do.
Our latest impact report showcases our ongoing ESG efforts and ambitious sustainability goals.
Interested in learning more about our dedication to making a positive impact?
Check it out here.
/p #J-*****-Ljbffr