Job Description
Developer Enablement is a function of the CTO organisation. Our mission is to make it easy and enjoyable for software engineering teams to go from a business idea to delivering an innovative product solution. The main goals are to improve and upgrade our tools, streamline our processes, automate and strengthen our controls, and help development teams adopt modern working methods.
The Role
We're seeking a technically versatile GenAI Solutions Engineer Lead to join our department. You'll help set the technical direction, lead by example, and embed cutting-edge GenAI practices into our software delivery. This role requires deep expertise in software engineering and the latest in Generative AI, with the ability to embed these practices into teams and promote a collaborative, high-performing culture.
As the GenAI Solutions Engineer, you’ll need to demonstrate a deep understanding of user needs and contributing to the overall product vision, translating cutting-edge GenAI research into scalable, production-grade solutions, bridging the gap between experimentation and enterprise deployment.
Our tech stack is diverse, encompassing (but not limited to) Python, Go, TypeScript, React, Kubernetes, Mongo, and Generative AI features requiring adaptability and a willingness to learn.
Responsibilities:
Lead applied GenAI research, focusing on prompt engineering, RAG, and agentic workflows
Architect and deliver end-to-end LLM solutions – from experimentation to production
Design evaluation frameworks to benchmark LLM performance, safety, and behaviour
Build integration layers connecting LLMs to APIs, middleware, and enterprise systems
Collaborate across teams to drive adoption of modern engineering practices and GenAI tooling
The Role
We're seeking a technically versatile GenAI Solutions Engineer Lead to join our department. You'll help set the technical direction, lead by example, and embed cutting-edge GenAI practices into our software delivery. This role requires deep expertise in software engineering and the latest in Generative AI, with the ability to embed these practices into teams and promote a collaborative, high-performing culture.
As the GenAI Solutions Engineer, you’ll need to demonstrate a deep understanding of user needs and contributing to the overall product vision, translating cutting-edge GenAI research into scalable, production-grade solutions, bridging the gap between experimentation and enterprise deployment.
Our tech stack is diverse, encompassing (but not limited to) Python, Go, TypeScript, React, Kubernetes, Mongo, and Generative AI features requiring adaptability and a willingness to learn.
Responsibilities:
Lead applied GenAI research, focusing on prompt engineering, RAG, and agentic workflows
Architect and deliver end-to-end LLM solutions – from experimentation to production
Design evaluation frameworks to benchmark LLM performance, safety, and behaviour
Build integration layers connecting LLMs to APIs, middleware, and enterprise systems
Collaborate across teams to drive adoption of modern engineering practices and GenAI tooling
💡 Quick Summary
Seeking a career-building opportunity? The GenAI Solutions Engineer Lead – Research & Development (Codified Controls) position is now open for candidates interested in the IT Engineer & Developer Jobs sector. This role in London offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in IT Engineer & Developer Jobs is a plus.