Principal AI/ML Engineer (AI)

TL;DR

Principal AI/ML Engineer (AI/ML): Building and optimizing the AI layer for a large European digital-services ecosystem with an accent on agentic AI orchestration and production-grade LLM deployment. Focus on designing low-latency voice AI pipelines, fine-tuning domain-specific models, and establishing high-standard MLOps observability.

Location: Fully Remote, but must have right to work in Belgium, Germany, Italy, Spain, or Greece

Company

hirify.global is an ecosystem of 60+ brands providing hosting, domains, and SaaS services to 3.5 million customers across Europe.

What you will do

• Architect and evolve multi-agent orchestration platforms and tool-use pipelines.
• Design low-latency voice AI pipelines (STT/TTS) with sub-300ms end-to-end targets.
• Build RAG pipelines with hybrid search, re-ranking, and retrieval quality measurement.
• Fine-tune and evaluate LLMs using LoRA, QLoRA, and DPO for domain-specific tasks.
• Own the AI observability stack and enforce safety guardrails (hallucination detection, PII redaction).
• Set architectural standards, conduct design reviews, and mentor ML engineers and scientists.

Requirements

• 8+ years in ML Engineering or Applied AI, including 2+ years in a lead or staff-level role.
• Deep hands-on production experience with LLMs, fine-tuning, RAG, and tool use.
• Proficiency in Python, PyTorch, and HuggingFace Transformers.
• Experience with LLM inference serving (vLLM, TensorRT-LLM, or TGI) in latency-sensitive environments.
• Solid understanding of MLOps, containerization (Docker/Kubernetes), and CI/CD for ML.
• Must provide proof of eligibility to work in the country applied for; no sponsorship or relocation available.

Nice to have

• End-to-end voice pipeline experience (VAD → ASR → LLM → TTS → SIP/RTP).
• Advanced RAG techniques such as multi-hop retrieval or RAPTOR-style hierarchical retrieval.
• Contributions to open-source ML projects or published research (arXiv, NeurIPS, etc.).
• Knowledge of quantization techniques (GPTQ, AWQ, GGUF) and multimodal models.

Culture & Benefits

• Fully remote work arrangement.
• Inclusive culture emphasizing respect, openness, and trusted collaboration.
• Strong commitment to ESG and sustainability goals.
• Opportunity to shape scalable AI impacting millions of users daily.