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Listed on LSEG’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
This role builds AI infrastructure and tools for LSEG's internal agentic AI platform, focusing on Model Context Protocol servers, Skills that orchestrate workflows, and the integration layer between enterprise systems and AI agents. It suits experienced engineers who want to work on platform-scale AI systems with real governance and production constraints, rather than isolated proof-of-concept projects.
Our summary, not LSEG’s wording. The full posting is on their site.
Skills this role names
- Containerization
- FastAPI
- Kubernetes
- Model Context Protocol
- Prompt Engineering
- Python
- Retrieval-Augmented Generation (RAG)
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What they ask for
Required
- Strong Python development experience
- Hands-on experience with LLM and agent frameworks
- Practical understanding of Model Context Protocol
- FastAPI and REST API design and implementation
- Experience with prompt engineering and RAG-based architectures
- Containerization and Kubernetes deployment experience
- Ability to work across platform, product, and governance boundaries in an enterprise environment