Principal AI Engineer

About the role

A senior individual contributor role setting the technical vision for AI as a service at enterprise scale, spanning model training, retrieval, orchestration and production operations while mentoring other engineers.

What you will do

• Own model training strategy across traditional ML and LLMs, including fine-tuning and evaluation
• Set standards for sourcing, cleaning, versioning, storing and governing training data
• Architect orchestration layers connecting LLMs to tools, data and sub-agents, including MCP servers
• Design retrieval and RAG systems end to end, from chunking and embeddings to re-ranking and memory
• Lead evaluation, observability and safety strategy covering tracing, red-teaming, guardrails and compliance

What they look for

• 15 or more years in AI and ML software engineering with senior principal level impact
• Experience delivering production AI at enterprise scale
• Fluency across the full lifecycle: data, training, retrieval, orchestration, evaluation and operations
• Both traditional AI and ML and GenAI product engineering skills alongside software architecture
• Hands-on ability with fine-tuning methods such as QLoRA, LoRA, PEFT and full fine-tuning
• Track record of setting long-term technical direction for complex cross-team initiatives