GenAI Python Developer

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

• 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