We are partnered with a specialist technology consultancy working with the private markets, including private equity, private credit, asset management and investment banking. They’re putting AI across the data of their whole client base, and they’re building a serious AI engineering capability to make it happen.
The role
You’ll be one of the first Forward Deployed Engineers in a new AI enablement function, reporting into the Head of AI Enablement. You’ll work hands-on with client teams across London and take AI from idea to production. Your job is to get people actually using it day to day. You’ll also help set up centres of excellence, so what you build can be reused across the business.
What you’ll be doing
- Building and shipping LLM-based applications into production
- Building RAG pipelines, embeddings and agent workflows on top of client data
- Pairing with non-specialist and junior engineers, and running workshops to drive adoption
- Supporting non-engineers through low-code tools such as Copilot Studio and Power Platform
- Documenting patterns and creating reusable templates other teams can follow
- Acting as an AI champion and helping put AI governance frameworks in place
Who we’re looking for
- 3+ years as a software or solutions engineer
- At least 1–2 years building and shipping LLM-based applications into production
- Experience with LLM SDKs, prompt and context engineering, RAG, embeddings and agent frameworks
- CI/CD and containerisation (Docker, Kubernetes or Container Apps)
- Experience building testing and evaluation harnesses for LLM outputs
- Comfortable in front of clients and confident teaching others
- Financial services experience preferred, ideally private markets, asset management or investment banking
#J-18808-Ljbffr