Design, build, and productionize LLM-powered applications for a major UK financial services business. Focus on RAG, conversational AI, and AI-driven workflows with end-to-end technical ownership. Requires experience with production LLMs, Generative AI, and RAG, ideally on AWS.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
Looking to build production GenAI products with measurable business impact?
Want to solve the challenges of deploying LLM applications across a large, regulated organisation?
Interested in joining a growing AI function with end-to-end ownership across multiple enterprise use cases?
A major UK financial services business is expanding its AI delivery capability and hiring a Senior AI Engineer. The wider MLOps function includes 12–15 engineers, with this role sitting within a small AI delivery team focused on building and productionising AI solutions across the business. Current projects include a RAG-based contact centre assistant, AI-supported complaints handling and extracting fraud signals from network graphs. You'll join a fast-paced environment with significant autonomy across several active AI initiatives.
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The Senior AI Engineer will design, build and productionise LLM-powered applications while working across engineering, data science, security and business teams. You'll have end-to-end technical ownership with scope to influence architecture, technical recommendations and build-vs-buy decisions.
Key Responsibilities
• Design, build and productionise LLM and Generative AI applications
• Develop solutions using RAG, conversational AI and AI-driven workflows
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• Own technical delivery from architecture through to production deployment
• Integrate AI applications with enterprise systems and data sources
• Make architectural recommendations and evaluate build-vs-buy decisions
• Partner with InfoSec and Data Protection teams on secure AI delivery
• Communicate technical decisions and trade-offs across engineering and business teams
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Key Details
Salary range: Up to £95,000 base + 15% annual bonus
Working model: Hybrid, 2–3 days per week in the London office
Tech stack: Production LLMs / Generative AI, RAG, AWS ideally. Further stack details not confirmed.
Visa sponsorship: Available
Interested? Please apply below.
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