AI Forward Deployed Engineer Job at Full Time NEW

AI Forward Deployed Engineer

Leading Buy Side Client | London | Hybrid | Competitive Daily Rate

The Opportunity

Join a leading Buy Side Client building production AI systems that transform how investment professionals work. This isn’t an R&D role-you’ll ship LLM-powered applications that investment and finance teams depend on daily, while simultaneously building the governed AI platform that underpins the entire organisation.

50% embedding with business teams | 50% platform engineering

What You’ll Build

Embedded AI Applications:

• Ship high-value LLM applications directly with Investment and Finance teams
• Turn ambiguous business problems into production-grade AI solutions
• Deploy agentic workflows using Claude and ChatGPT APIs
• Work alongside investment professionals to identify and solve real problems

AI Platform Engineering:

• Build and extend governed AI platform: LLM gateway, model control layer, privacy Proxy
• Develop MCP connectors for Salesforce, M365, deal flow systems, analytics platforms, and third-party data providers
• Implement logging, audit trails, observability, and evals tooling
• Design agentic workflows spanning multiple systems with proper tracing, scoring, and regression checks
• Ensure compliance with regulatory requirements (FCA, DORA)

Essential Skills

Production AI Engineering:

• Deep practical fluency with Claude and ChatGPT APIs, tool use, structured outputs, and prompting techniques
• Track record shipping LLM-powered applications that users depend on
• Experience with LLM gateways, privacy proxies, agent observability, or evals frameworks (even at hobby/prototype level)

Software Engineering:

• Strong Python and TypeScript for production systems
• Modern Azure infrastructure and services
• Integration patterns: REST APIs, MCP, webhooks, SSO/Entra ID
• Production code experience in regulated or enterprise environments

Business & Communication:

• Excellent communicator who can sit with investment professionals and turn conversations into code
• Ability to work with ambiguous business problems and ship concrete solutions
• Experience pairing with non-technical stakeholders