Generative AI Engineer

Harrington Starr; Greater London; On-site; GBP 120,000 - 180,000; Full time

Job summary

Harrington Starr in London seeks a Founding AI Engineer to build production AI capability from the ground up. You will own end-to-end delivery of core AI systems, from data access to deployment, with autonomy and exposure to senior leadership.

This greenfield role demands hands-on Python/backend excellence, deep knowledge of RAG pipelines, multi-agent orchestration, and responsible AI practices. You’ll shape tooling, architecture, and standards across the organization.

Qualifications

• Proven experience shipping production AI/LLM systems used by real users.
• End-to-end engineering from architecture to deployment.
• Strong Python and backend engineering.
• Experience with RAG and agentic systems.
• Ability to build from scratch in a greenfield environment.
• Responsible AI practices.

Responsibilities

• Build production-grade RAG pipelines across complex unstructured data.
• Design and deploy multi-agent AI systems and orchestration frameworks.
• Integrate LLMs across OpenAI, Anthropic, and open-source ecosystems.
• Develop semantic search, vector database, and graph-based retrieval systems.
• Own AI evaluations, observability, governance, and reliability.
• Build internal AI products that enhance decision-making and operational efficiency.

Skills

Production AI systems

Python

Backend engineering

RAG

Agentic systems

Ambiguity tolerance

Tools

OpenAI API

Anthropic API

Vector databases

Graph databases

LLM tooling

Job description

Founding AI Engineer — Build an AI Capability From the Ground Up

A leading global investment business is looking to make its first dedicated AI Engineering hire — a rare opportunity to build and shape AI capability from day one inside a highly respected organisation managing tens of billions in assets.

This is far beyond experimentation or internal demos. The successful candidate will design, build, and own production-grade AI systems that solve real business problems — from advanced RAG pipelines and agentic workflows to internal AI platforms used across the organisation.

This role offers genuine autonomy, visibility, and the chance to influence AI strategy, architecture, and engineering standards at an early stage.

Why this opportunity stands out

• Foundational AI hire with significant ownership and influence
• Greenfield environment with freedom to shape tooling, architecture, and best practices
• Direct exposure to complex, high-value datasets and workflows
• Strong long-term investment and commitment to AI from leadership
• Opportunity to build systems with immediate, measurable impact

The role

• Build production-grade RAG pipelines across complex unstructured data
• Design and deploy multi-agent AI systems and orchestration frameworks
• Integrate LLMs across OpenAI, Anthropic, and open-source ecosystems
• Develop semantic search, vector database, and graph-based retrieval systems
• Own AI evaluations, observability, governance, and reliability
• Build internal AI products that enhance decision-making and operational efficiency

The ideal profile

• Proven experience shipping production AI/LLM systems used by real users
• Strong end-to-end engineering capability — from architecture through deployment
• Deep Python and backend engineering experience
• Strong understanding of modern AI tooling, RAG, and agentic systems
• Comfortable operating in ambiguity and building from scratch
• Uses AI tooling aggressively, but critically and responsibly
• Cares about product quality, reliability, and business outcomes — not just models

Tech environment

London | Senior / Principal Level

This is an exceptional opportunity for an ambitious AI Engineer looking to build something meaningful at the frontier of applied AI — with the autonomy, backing, and technical scope to make a genuine impact.