An AI company delivering end-to-end AI solutions—spanning foundation models, developer tooling, and enterprise-grade applications—is hiring a Technical Lead for its Applied AI function. This person will oversee delivery of advanced AI systems for large customers operating in regulated or high-complexity sectors such as banking, healthcare, and industrial production.

What This Role Involves

This is a player-coach position: you'll manage a small team of AI engineers while staying directly involved in building and reviewing code for the most technically demanding pieces of each engagement. You'll be the go-to technical contact for key accounts, spanning early scoping conversations through to rollout and support, and you'll coordinate closely with teams in research, product, and engineering.

Core Responsibilities
  • Contribute directly as an engineer on high-stakes workstreams (model fine-tuning, retrieval-augmented generation, multi-step agent systems, bespoke LLM builds)
  • Guide and coach a group of applied engineers, establishing technical direction and quality bars
  • Support pre-sales by turning client requirements into workable technical proposals
  • Track new developments in the field and bring promising approaches into the team's toolkit
  • Loop customer learnings back to product and engineering to shape what gets built next
Candidate Profile
  • Strong written and spoken English
  • Master's or doctoral degree in machine learning, computer science, or an adjacent discipline
  • 7+ years working in AI/ML, with 2+ years spent in a lead capacity (e.g., Engineering Manager, Tech Lead, Solutions Architect)
  • History of shipping AI systems end-to-end, from early prototype to live production use
  • Solid grounding in fine-tuning approaches, sophisticated RAG pipelines, and agent-based architectures at scale
  • Hands-on coding ability in Python and PyTorch, plus familiarity with common ML tooling
  • Background in backend or full-stack engineering, including API and systems design
  • Comfortable presenting technical material to both engineers and non-technical leadership
Also Valuable
  • Involvement in open-source AI/ML projects
  • Previous work in a client-facing capacity (e.g., Solutions Engineer, Technical Account Manager)
  • Experience shaping a product roadmap using direct customer input