Principal AI Solutions Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Principal AI Solutions Engineer (AI): Architecting and evolving the AI layer across a massive digital-services ecosystem with an accent on agentic orchestration, real-time voice pipelines, and production-grade RAG systems. Focus on designing scalable AI infrastructure, ensuring system reliability, and mentoring engineering teams to ship high-impact AI solutions.
Location: Must be based in Belgium, Germany, Italy, Spain, or Greece.
Company
is a leading European digital-services ecosystem comprising over 60 brands that provide hosting, domain, and SaaS solutions to 3.5 million customers.
What you will do
- Architect and evolve multi-agent orchestration platforms including tool-use pipelines and observability hooks.
- Design and implement low-latency voice AI pipelines including STT, TTS, and telephony integration.
- Build and maintain RAG pipelines with advanced retrieval quality measurement and hybrid search.
- Define architectural standards for AI systems, conduct design reviews, and own ADRs.
- Manage the full model lifecycle from fine-tuning and evaluation to production deployment.
- Mentor ML engineers and applied scientists to grow the team's production AI capabilities.
Requirements
- 8+ years in ML Engineering, Applied AI, or Research Engineering with 2+ years in a lead or staff-level role.
- Must have legal right to work in the country of application; no sponsorship or relocation support provided.
- Deep hands-on experience with LLMs in production including fine-tuning, RLHF/DPO, and RAG.
- Fluent in Python and core ML stack (PyTorch, Transformers, PEFT/LoRA).
- Experience with LLM inference serving in latency-sensitive environments.
- Strong communication skills for design documentation and cross-functional collaboration.
Nice to have
- Experience with end-to-end voice pipelines (VAD, ASR, LLM, TTS, SIP/RTP).
- Familiarity with Model Context Protocol (MCP) and tool-use contracts.
- Contributions to open-source ML projects or published research.
- Knowledge of quantization techniques and multimodal models.
Culture & Benefits
- Work within a large-scale, distributed European ecosystem.
- Commitment to ESG and sustainability goals.
- Focus on diversity, inclusion, and trusted collaboration.
- Opportunity to shape technical direction for AI across 60+ brands.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →