GenAI Python Developer

GenAI Python Developer x4
Location: Hybrid/London
Contract Rate: £450–£500 per day (Inside IR35, initial 6-9 months)
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