GenAI Python Developer

We’re looking for an experienced GenAI Python Developer to join a high-profile programme delivering an enterprise-scale GenAI Virtual Agent capability for a global organisation. This is an opportunity to work at the forefront of AI innovation, developing secure, scalable and production-ready GenAI solutions that will be used across a large international business. You’ll combine strong Python engineering expertise with cloud technologies, DevOps best practices and emerging GenAI frameworks to build next-generation AI services. If you’re passionate about GenAI, enjoy solving complex engineering challenges, and want to play a key role in shaping enterprise AI adoption, we’d love to hear from you. What You’ll Do Develop and maintain Python-based backend services and APIs using FastAPI.Build secure integrations between Large Language Models (LLMs) and enterprise applications.Design and implement GenAI solutions including prompt orchestration, output validation and evaluation frameworks.Develop Retrieval-Augmented Generation (RAG) capabilities and data access patterns.Integrate AI services with cloud-native architectures across Azure and AWS.Build and maintain CI/CD pipelines aligned with engineering and security standards.Implement observability, monitoring and performance optimisation across GenAI services.Support benchmarking, experimentation and evaluation of LLM performance, accuracy and cost.Collaborate with Architects, Platform Engineers, Product Teams and Business Stakeholders.Contribute to reusable frameworks, API standards, documentation and best practices. Essential Skills & Experience 8+ years of software engineering experience.Minimum 5 years of recent hands-on Python development experience.Strong commercial experience with FastAPI.Experience developing and deploying applications within Azure and AWS environments.Hands-on experience working with GenAI technologies and LLMs.Knowledge of prompt engineering, prompt evaluation and AI orchestration patterns.Experience building and consuming RESTful APIs and microservices.Strong DevOps and CI/CD experience, ideally using Azure DevOps.Infrastructure-as-Code experience using Terraform.Experience working within secure, regulated enterprise environments.Strong understanding of authentication, secrets management and security best practices.Development of AWS services: EC2, EKS, S3, SQS, DynamoDB, Bedrock. Desirable Skills Retrieval-Augmented Generation (RAG) architectures.Vector databases and semantic search technologies.Kong API Gateway and Kong Mesh.FluxCD and GitOps workflows.Prompt evaluation and observability tools such as Promptfoo and Arize.SQL databases including PostgreSQL and MySQL.NoSQL database technologies.Distributed systems and cloud-native application development. What Success Looks Like Production-ready GenAI services delivered securely and efficiently.Highly reusable AI components that accelerate future development.Automated deployment pipelines and improved engineering velocity.Stable, observable and scalable AI platforms.Strong adoption from platform and application teams.Clear documentation and streamlined onboarding for future projects. Why Join? This is a unique opportunity to work on one of the most exciting areas of modern software engineering. You’ll be helping to shape enterprise AI capabilities, working alongside experienced architects, engineers and AI specialists within a highly visible transformation programme. If you’re an experienced GenAI Python Developer with strong Azure and AWS expertise we’d love to speak with you.

GenAI Python DeveloperLocation: Hybrid / 2 days in LondonSalary: £60,000 - £75,000 + BenefitsNotice Period: Immediate to 2 Weeks Preferred