Front Office AI Engineer: Production Systems & Governance

Bluecrestcapitalmanagement; Greater London; On-site; GBP 110,000 - 170,000; Full time

Job summary

Bluecrest Capital Management's AI Team within Front Office Technology seeks an experienced software engineer to design and deliver AI-enabled libraries and services for a regulated trading environment. You will work closely with PMs, traders and quants to scope use cases, build production-grade AI applications, and ensure governance, testing and maintainability across the platform.

You will lead integration with market data tools (Bloomberg, Snowflake) and cloud infrastructure

Qualifications

• 5+ years in software engineering with Python and SQL.
• Direct front office experience at hedge fund or bank, working day to day with traders or PMs.
• Hands-on experience building LLM applications: retrieval (RAG), tool use and agents, context engineering, and evaluation of output quality.
• Heavy daily use of agentic coding tools, with a clear view of where they fail and how to review their output.
• A track record of shipping production systems: APIs, containers, CI/CD and cloud (Azure or Kubernetes preferred).
• The ability to turn loosely defined desk requests into scoped deliverables, and the confidence to push back when something should not be built.

Responsibilities

• Scope pod use cases that need engineering build, working directly with PMs, traders and quants.
• Build production-grade applications using AI-assisted development (e.g. Claude Code) on the firm’s standard AI tooling: templates, CI/CD, the Institutional Knowledge Layer, MCP services and shared libraries.
• Pair with pod developers on live builds, sharing good practice in design, code review, testing and safe use of agentic coding tools.
• Leave the pod able to extend and maintain what has been built, rather than dependent on you.
• Turn repeated pod requirements into reusable MCP servers, skills, agents and templates, available for use across the firm.
• Feed engineering gaps and requirements directly into the team’s roadmap.
• Build entitlements, per-user identity, audit and evaluation into every solution from day one.
• Take successful applications through graduation to Technology ownership, including evals, documentation and operational handover.
• Assist in tracking the business impact of what you deliver: time saved, risk reduced, decisions supported.

Skills

Python

SQL

Trading desk experience

LLM applications

APIs

CI/CD

Cloud (Azure/Kubernetes)

Tools

Bloomberg

Snowflake

Azure

Kubernetes

Job description

Bluecrest Capital Management's AI Team within Front Office Technology seeks an experienced software engineer to design and deliver AI-enabled libraries and services for a regulated trading environment. You will work closely with PMs, traders and quants to scope use cases, build production-grade AI applications, and ensure governance, testing and maintainability across the platform.

You will lead integration with market data tools (Bloomberg, Snowflake) and cloud infrastructure