Описание
LSEG is a global financial markets infrastructure and data provider that supports financial stability, empowers economies, and enables customers to create sustainable growth. Its Corporate Engineering AI team provides shared platforms, patterns, governance, and delivery support for the company’s internal agentic AI ecosystem.
Задачи
- Design and build MCP servers and tools that expose enterprise systems and workflows to AI agents
- Implement Skills that orchestrate tools, data, and reasoning into repeatable, governed workflows
- Contribute to the LSEG AI Assist agentic harness, including planning, tool-calling, and orchestration logic
- Build secure API wrappers where backend systems lack suitable authentication or entitlement models
- Work closely with product teams in a “build for” capacity, transferring knowledge and establishing reusable patterns
- Shape the developer experience for MCP and Skills, including templates, contribution guidance, and standards
- Collaborate with Quality Engineers and SREs to ensure solutions meet quality, governance, and operational readiness expectations.
Требования
- Strong Python development experience
- Hands-on experience with LLM and agent frameworks and agentic reasoning patterns
- Practical understanding of Model Context Protocol (MCP), including server and tool patterns
- Experience with FastAPI and REST API design and implementation
- Experience with prompt engineering and RAG-based architectures
- Experience with containerisation and Kubernetes-based deployment
- Ability to work across platform, product, and governance boundaries in an enterprise environment
Условия
Tailored benefits and support include healthcare, retirement planning, paid volunteering days, and wellbeing initiatives.
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