AI Engineer

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Our client is a rapidly scaling technology firm within the private capital markets space. They provide a cutting‑edge accounting platform that serves a global base of fund administrators, private equity firms, and asset managers. Their solution automates complex financial calculations, dramatically enhancing operational efficiency for clients managing trillions in combined assets. The company is backed by leading institutional investors and maintains an entrepreneurial culture that rewards ownership and speed.

Opportunity

We are seeking a hands‑on AI Engineer to spearhead the AI roadmap for their core platform, which is built on .NET architecture and migrating to web‑native/cloud environments. This is an end‑to‑end role focusing on the design and implementation of applied AI capabilities, from building secure knowledge‑based chat (RAG solutions) over internal documentation and codebases, to developing complex agentic workflows that integrate deeply within their product suite.

Key Responsibilities

• Define and execute the AI product roadmap, aligning AI initiatives with core business objectives.
• Implement documentation ingestion pipelines for structured knowledge bases.
• Build secure, enterprise‑grade Retrieval-Augmented Generation (RAG) systems.
• Collaborate with engineering teams to embed AI features into existing and new products.
• Design and deploy agentic workflows to automate multi‑step tasks across microservices.
• Ensure robust security, data privacy, and tenancy controls are implemented across all AI systems.
• Establish production standards for performance, reliability, and observability of AI services.

About You – Ideal experience

• 5+ years in engineering, with 2+ years focused specifically on applied AI/ML or LLM systems.
• Strong background in the Microsoft technology stack (.NET, APIs, services, background processing).
• Hands‑on experience with commercial LLM platforms (e.g., Azure OpenAI, AWS Bedrock, GCP Vertex AI). They use AI Foundry.
• Familiarity with agent frameworks and orchestration patterns.
• Experience with cloud‑native architectures (Azure preferred).
• Solid grasp of enterprise security and data governance principles for AI.

Benefits

• 25 days holiday + Birthday/Work anniversary
• Equity options
• Bonus
• Medical, Dental and Vision Insurance
• Enhanced pension with tax relief
• £50 towards any gym membership
• Rewards and discounts

Seniority level

• Mid‑Senior level

Employment type

• Full‑time

Job function

• Information Technology

London, England, United Kingdom

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