AI Engineer

We are seeking a I Engineer with Software Engineering background to join a fast-moving team working across AI platform engineering and direct collaboration with the Investment Team.

The role is split approximately 60/40 between platform engineering and business-facing AI delivery, focusing on building and deploying production-grade AI solutions.

We are looking for someone who writes clean, production-quality code and can turn AI capability into real business impact.

Key Responsibilities

Responsibilities

• Design, build and maintain core AI platform components - LLM gateway, MCP connector layer, observability tooling, and privacy Proxy
• Develop and harden MCP connectors across the company’s data sources (M365, Salesforce, Kensho/S &P, Moody’s, internal systems) through PoC, pilot, and GA stages
• Build AI-powered tools and workflows for business teams, translating use cases into governed, production-ready applications
• Integrate with Databricks/Unity Catalog as the data foundation for AI features
• Contribute to spec-driven development practices - writing clear specifications before building, with appropriate test coverage
• Support prompt engineering, evaluation, and iterative improvement of deployed AI features
• Collaborate with the engineering squad to displace outsourced delivery with in-house capability

• Hands-on experience building with LLM APIs (Anthropic, OpenAI or similar) in production environments
• Experience building AI Solutions is essential
• Experience with agentic frameworks, tool use, and MCP or equivalent connector patterns desirable
• Familiarity with observability and evaluation tooling for AI systems
• Understanding of data platforms - Databricks or similar - and how to expose data safely to LLMs
• Security and governance awareness: prompt injection, data boundary controls, RBAC
• Comfortable working in a small, high-trust team where you own things end to end
• Python development skills is essential
• Financial services or regulated environment experience