Job Description

Posted 4 weeks ago

GenAI Python Developer x4
Location: Hybrid/London
Salary: £60k–£70k per annum

GenAI | Python | Enterprise AI Platform – Build the core of a next-gen Generative AI ecosystem for a global finance services business.

If you’re a strong Python engineer who’s genuinely excited by the possibilities of GenAI in real enterprise environments, this is a brilliant opportunity. You’ll be working on a large-scale Generative AI platform that’s reshaping how a major global finance services business builds, deploys, and adopts AI across the business.

Expect hands-on engineering, real problem solving, and plenty of collaboration as you help architect, automate, and operationalise LLM-driven services at scale.

What You’ll Be Doing:

* Building backend services and APIs that give secure, governed access to LLM capabilities

* Developing Python-based GenAI components including prompt orchestration and evaluation tooling

* Integrating LLMs with enterprise systems, observability layers, and security frameworks

* Designing and maintaining CI/CD pipelines using Azure DevOps

* Working closely with platform leads, architects, and SRE teams to ensure stable, scalable operations

* Supporting benchmarking, evaluation, and experiment tracking to measure LLM performance and cost

* Contributing to RAG implementations and vector-driven retrieval patterns

* Helping shape platform patterns, reusable components, and clear documentation

* Troubleshooting performance issues across distributed systems and cloud services

What You’ll Bring:

* 5+ years of backend engineering experience, with strong Python at the core

* Hands-on exposure to GenAI technologies and Large Language Models

* Practical understanding of LLM evaluation, prompt handling, and operational complexities

* A DevOps-first approach with experience in CI/CD, observability, and automation (Azure DevOps preferred)

* Confidence working in regulated enterprise environments with tight security controls

* Experience integrating AI or ML services into real-world applications

* Knowledge of authentication, secret management, networking, and model access governance

Bonus Points For:

* Kong API Gateway, Kong Mesh, Flux CD

* AWS stack: EC2, EKS, S3, SQS, DynamoDB, Bedrock

* RESTful API development with FastAPI, microservices, Terraform, GitOps workflows

* Prompt evaluation tools such as Promptfoo

* SQL and NoSQL experience: MySQL, PostgreSQL, MongoDB, Cassandra

* Exposure to RAG patterns and vector search technologies

What Success Looks Like:

* Secure, reusable GenAI components running smoothly in production

* Faster engineering delivery through automation and DevOps maturity

* High observability and strong evaluation built in from day one

* Platform teams and application teams genuinely enjoying what you build

* Clean documentation and an onboarding flow that makes adoption effortless

If you’re keen to help shape one of the most exciting GenAI platforms in the enterprise world, drop me a message and we can get things moving. Interviews won’t stay open for long