Why this opportunity stands out
Lead engineering role designing and delivering applied AI systems with hands-on technical ownership.
About the role
An AI Lead Engineer is needed to guide the design, build, and delivery of applied AI products. This is a hands-on technical leadership role covering architecture decisions, engineering standards, model integration, and collaboration with product and business teams.
Key responsibilities
Lead engineering delivery for AI-enabled products and platforms.
Set technical direction across architecture, tooling, and implementation standards.
Build and review production-quality services, integrations, and model workflows.
Partner with product teams to turn AI opportunities into deliverable features.
Coach engineers and improve delivery practices across the team.
Set technical direction across architecture, tooling, and implementation standards.
Build and review production-quality services, integrations, and model workflows.
Partner with product teams to turn AI opportunities into deliverable features.
Coach engineers and improve delivery practices across the team.
What they're looking for
Strong software engineering background with recent applied AI delivery.
Experience with Python, APIs, cloud platforms, data pipelines, or ML services.
Ability to lead technical decisions while remaining hands-on.
Understanding of LLMs, model evaluation, observability, and responsible AI practices.
Clear communication with both technical and non-technical stakeholders.
Experience with Python, APIs, cloud platforms, data pipelines, or ML services.
Ability to lead technical decisions while remaining hands-on.
Understanding of LLMs, model evaluation, observability, and responsible AI practices.
Clear communication with both technical and non-technical stakeholders.
Benefits
Lead role with strong technical ownership.
Hybrid working model.
Opportunity to build practical AI systems used by real stakeholders.
Collaborative product and engineering environment.
Hybrid working model.
Opportunity to build practical AI systems used by real stakeholders.
Collaborative product and engineering environment.