Norton Blake
Senior AI Engineer
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Senior AI Engineer
Location: London
Contract: 12-month fixed-term contract
Working pattern: Hybrid (1-2 Days a week)
Salary: £80,000 - £90,000
We are hiring a Senior AI Engineer to design, build, and deploy production-grade agentic AI solutions for a high-impact London-based programme.
This is not a research-only role. You will be expected to bring strong engineering discipline alongside proven experience delivering at least one agentic AI application into production. You will work independently, helping shape robust, scalable, and secure AI solutions used in a commercial environment.
What you’ll be doing
- Design, build, and productionise agentic AI solutions using Azure AI Foundry.
- Develop multi-agent workflows, orchestration, and tool integrations using LangChain, LangGraph 1.2.x, and DeepAgents.
- Build high-quality Python services and React-based user interfaces.
- Apply strong software engineering practices including TDD, SOLID principles, clean architecture, and recognised design patterns.
- Use coding agents, including Claude Code, to improve engineering delivery while maintaining code quality and governance.
- Work closely with technical and business stakeholders to turn complex requirements into practical AI products.
- Take ownership of delivery, technical decision-making, troubleshooting, and continuous improvement.
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Key requirements
- Proven experience delivering at least one agentic AI solution into a live production environment.
- Strong hands-on experience with LangChain, LangGraph, and DeepAgents.
- Experience building solutions with Azure AI Foundry.
- Strong Python engineering background, with React experience for front-end development.
- Comfortable using coding agents such as Claude Code as part of an effective engineering workflow.
- Excellent understanding of TDD, SOLID principles, design patterns, and maintainable software design.
- Able to work independently in a senior, delivery-focused hybrid role.
- Strong communication skills and confidence engaging directly with stakeholders.
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Desirable
- Experience within Private Equity, investment, financial services, or data-intensive commercial environments.
- Experience building secure, scalable AI applications in enterprise settings.
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