Do you want to build production GenAI products (not prototypes) in a business with real scale and board-level visibility?
Have you shipped LLM/RAG systems end-to-end and owned them in production?
Are you ready to join a new AI team early and shape how AI is delivered across a global consumer brand?
A global fitness and wellness brand is building a new Group AI function to deliver high-impact AI solutions across the organisation. With new leadership in place (including a newly appointed Chief AI Officer), this team has top-down backing and a clear mandate to ship measurable AI outcomes across both customer-facing and internal operational use cases. For example, app-based agents and optimization algorithms for physical spaces (maintenance, costs, customer experience).
As an AI Engineer, you’ll build and deploy end-to-end AI solutions across the company, working closely with stakeholders and owning delivery from brief to production.
This is a builder role for someone who enjoys taking ambiguous problems, designing a practical AI solution, and deploying it into production. You’ll work across both GenAI and applied ML, building scalable AI services that directly improve customer experience and business performance.
Key responsibilities
- Design, build and deploy end-to-end AI solutions
- Develop LLM solutions (e.g. RAG, workflow orchestration, evaluation)
- Build APIs/services integrating data sources and AI outputs
- Translate stakeholder needs into practical technical delivery plans
- Own delivery quality: reliability, performance, observability, iteration
- Collaborate across engineering, data, operations, and product teams
What they’re looking for
- 4-6+ years of industry experience
- Strong Python and SQL
- Hands-on GenAI delivery (RAG/LLMs; LangChain-style tooling strongly preferred)
- Comfortable operating independently with real ownership
- Solid stakeholder management and ability to explain clearly to non-technical audiences
- DS background that has moved into AI engineering / LLM product delivery is ideal
- Bonus: Databricks, Azure, MLOps/CI-CD experience
Interested? Please apply below.
:quality(80))
:quality(80))
:quality(80))