Senior/Lead AI Engineer
Location: London
Working: Hybrid (client-dependent)
Salary: £85–120k + benefits
Hiring for multiple levels
The Role
- Joining a leading global technology consultancy within a growing Data & AI practice, working on cutting-edge AI engineering initiatives across a range of industries.
- You'll design, develop and deploy production-grade Generative AI and Agentic AI solutions, combining strong Data Science / Machine Learning foundations with modern software engineering practices.
- This is a hands-on technical role with opportunities to influence solution architecture, develop scalable AI applications and work closely with clients on complex AI transformation projects.
Key Responsibilities
- Design, build and deploy Generative AI and Agentic AI solutions from initial prototype through to production
- Develop multi-agent systems and orchestration workflows using frameworks such as LangGraph, CrewAI, AutoGen or Semantic Kernel
- Design and implement RAG pipelines, incorporating embeddings, vector databases, hybrid search and retrieval optimisation
- Build scalable Python applications, APIs and microservices to integrate AI capabilities with enterprise systems
- Develop and optimise LLM-powered applications, including prompt engineering, tool calling, evaluation and performance monitoring
- Implement AI orchestration patterns, including multi-step planning, agent collaboration, fallback handling and workflow management
- Deploy AI solutions across cloud environments, ensuring scalability, reliability and security
- Contribute to technical architecture decisions, engineering best practices and the ongoing development of AI capabilities
Key Requirements
- Strong background in Data Science, Machine Learning or AI Engineering, with proven experience deploying models or AI applications into production
- Excellent Python engineering skills, including experience developing APIs, microservices and production-ready applications
- Hands-on experience building and deploying Generative AI / LLM-based solutions in production environments
- Experience with Agentic AI frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel or similar
- Strong understanding of RAG architectures, embeddings, vector databases and LLM evaluation techniques
- Experience working with cloud platforms, ideally Azure, although AWS experience is also considered
- Familiarity with containerisation, CI/CD and MLOps practices
- Understanding of AI orchestration, tool integration and emerging protocols such as MCP and A2A would be advantageous
- Strong academic background in Computer Science, Mathematics, Physics, Data Science or a related technical discipline (PhD advantageous)
- Strong communication and problem-solving skills, with the ability to engage with technical teams and client stakeholders
No sponsorship available.
Get in touch for more details – ncarolan@mcgregor-boyall.com
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Senior/Lead AI Engineer in City of London employer: McGregor Boyall
Join a leading global Investment Management firm in London, where you will thrive in a dynamic hybrid work environment that fosters collaboration and innovation. With a strong focus on employee growth, the company offers competitive salaries, generous bonuses, and comprehensive benefits, alongside opportunities to take ownership of impactful regulatory initiatives. Experience a supportive work culture that values strong stakeholder relationships and encourages professional development, making it an ideal place for those seeking meaningful and rewarding employment.
