Senior AI/ML Engineer (AI)

Location: Fully remote from Belgium, Italy, or Germany; applications require proof of eligibility to work in the selected country. Relocation packages and visa sponsorship are not available.

Company

hirify.global is a European digital-services ecosystem of more than 60 brands serving 3.3 million SMB customers across hosting, domains, email, e-commerce, server hosting, compliance, marketing, and collaboration software.

What you will do

• Architect and evolve multi-agent orchestration, plugin, tool-use, observability, and channel-adapter systems.
• Design voice AI pipelines using speech recognition, streaming text-to-speech, voice activity detection, and SIP/RTP telephony integration, targeting sub-300 ms end-to-end latency.
• Build RAG pipelines with retrieval measurement, re-ranking, hybrid search, and MCP-based integration contracts.
• Fine-tune, evaluate, version, and promote LLMs for customer support, classification, and structured extraction.
• Own AI observability, guardrails, privacy and safety controls, data pipelines, and ML CI/CD with automated evaluation gates, canary releases, and rollbacks.
• Set architecture standards, lead design reviews, mentor ML engineers and applied scientists, and translate business problems into measurable ML objectives.

Requirements

• 8+ years of experience in ML Engineering, Applied AI, or Research Engineering, including at least 2 years in a lead or staff-level role.
• Hands-on production experience with LLM fine-tuning, RLHF/DPO, prompt engineering, RAG, and tool use.
• Fluent Python and experience with PyTorch, HuggingFace Transformers, and PEFT/LoRA.
• Production experience serving LLM inference with vLLM, TensorRT-LLM, or TGI in latency-sensitive environments.
• Practical experience with agentic frameworks, multi-agent coordination, tool-call orchestration, context and memory management, and observability using Langfuse, Opik, or an equivalent.
• Solid MLOps knowledge covering experiment tracking with MLflow or W&B, model registries, Docker, Kubernetes, and CI/CD for ML.
• Awareness of hallucination, prompt injection, data leakage, fairness, and privacy risks, including production mitigation approaches.
• Strong communication skills for writing design documents, running architecture reviews, and explaining tradeoffs to non-technical stakeholders.

Nice to have

• End-to-end voice pipeline experience covering VAD, ASR, LLM, TTS, and SIP/RTP telephony.
• Experience with multi-hop RAG, self-consistency, chain-of-thought reranking, or RAPTOR-style hierarchical retrieval.
• Familiarity with MCP server design and tool-use contracts.
• Open-source ML contributions or publications in venues such as arXiv, NeurIPS, ACL, or Interspeech.
• Experience with multimodal vision-language or audio-language models.
• Knowledge of GPTQ, AWQ, or GGUF quantization and quality/latency tradeoffs.
• Speech AI or real-time audio systems experience.

Culture & Benefits

• Fully remote work from the listed European locations.
• Inclusive environment centered on respect, openness, diversity, and trusted collaboration.
• Commitment to environmental and social sustainability through ongoing ESG initiatives.
• Employment is full-time.