Lead AI Engineer

We are partnering with a global technology consultancy delivering next-generation engineering solutions across digital transformation, cloud, automation, integration, low-code, and AI application development. With an international presence and enterprise-scale clients, the business helps organisations modernise operations and accelerate innovation through digital-first technology solutions.

An exciting opportunity has arisen for an experienced AI Developer to help build core services, features, and capabilities for an enterprise-grade Generative & Agentic AI platform within a large-scale, regulated environment.

This role combines strong software engineering expertise with DevOps capability and hands-on experience integrating Large Language Models (LLMs) into secure, scalable enterprise systems. You'll work closely with architects, platform engineers, and product teams to operationalise AI services and contribute to the evolution of modern AI engineering practices.

• Develop and optimise Python-based AI components, including prompt orchestration, output validation, and evaluation tooling.

• Work with Generative and Agentic AI patterns, including LLM integration, RAG architectures, prompt-driven workflows, and AI service orchestration.

• Integrate AI capabilities with enterprise systems, observability tooling, and security frameworks.

• Design and maintain CI/CD pipelines within cloud-native engineering environments.

• Support benchmarking, evaluation, experimentation, and cost optimisation for LLM workloads.

• Contribute to scalable RAG implementations and enterprise data access patterns.

• Help define reusable APIs, engineering standards, and platform documentation.

• Troubleshoot and optimise distributed systems and cloud-based services.

• Collaborate across engineering, platform, architecture, and product teams to deliver reliable AI services.

• Strong commercial Python engineering experience, including FastAPI.

• Strong Java development experience within production environments.

• Hands-on experience with Generative AI, Agentic AI, and Large Language Models.

• Experience evaluating LLM performance and handling prompt engineering complexities.

• Strong DevOps and CI/CD experience with a focus on automation and observability.

• Experience working within regulated or security-conscious enterprise environments.

• Knowledge of authentication, secrets management, network security, and model governance.

• Experience developing and deploying AWS services, including:

  • EC2

  • EKS

  • S3

  • SQS

  • DynamoDB

  • Bedrock

  • AgentCore

• Experience with Kong API Gateway, Kong Mesh, and Flux CD.

• RESTful API and microservices development.

• Terraform and GitOps workflows.

• Exposure to prompt evaluation, observability, or AI red-teaming tools.

• SQL and NoSQL database experience.

• Understanding of vector search technologies and Retrieval-Augmented Generation (RAG) patterns.

• A proactive self-starter who takes ownership and drives solutions independently.

• Comfortable operating in fast-evolving technical environments where best practice is still emerging.

• Strong communicator able to collaborate across engineering, data, and product functions.

• Naturally curious about emerging AI technologies and how they can be applied securely and effectively.

• Passionate about automation, scalability, and continuous improvement.