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# Senior AI Engineer

- **Company:** Just Eat Takeaway.com
- **Location:** Watford, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, BigQuery, Cloud Computing, Cloud Storage, Computer Programming, Programming Tools, Amazon DynamoDB, Python (Programming Language), Machine Learning, Ansible, Software Engineering, AI Infrastructure, GitHub Copilot, Large Language Models, Google Vertex AI, Cloudformation, Kubernetes, Infrastructure Automation Frameworks, Amazon Bedrock, Google Cloud Functions, AWS Fargate, Machine Learning Operations, Functional Programming, Terraform, AIOps, Data Pipelines, Serverless Computing, Docker, Agent2Agent Protocol
- **Published:** October 14, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/senior-ai-engineer/51696958

## About the Role

Your Profile & Recommended Experience Experience with cloud platforms like AWS (EC2, ECS, S3, Lambda, Fargate, DynamoDB/RDS) or GCP (Compute Engine, Cloud Storage, Cloud Functions, BigQuery).
Strong programming skills, with extensive experience in Python and fluency in another language.
Knowledge of Infrastructure as Code tools (e.g., CloudFormation, Terraform, Ansible, Serverless Framework).
A passion for automating processes.
Familiarity with containers (Docker, Container Orchestration like Kubernetes/ECS/GKE).
A genuine interest in and foundational experience with AI/ML concepts and technologies.
A proven track record of delivering high-quality work and driving best practices in software engineering.
Ability to work independently and solve complex problems.
Stay updated with new technologies in the AI space.

Nice to Have Direct experience with advanced AI tools and platforms, such as Amazon Bedrock or Google Vertex AI.
Familiarity with frameworks for building complex, multi-step generative AI applications, like LangGraph.
Experience with Agent-to-Agent (A2A) communication or coordination patterns in AI systems.
Hands-on experience leveraging AI-powered development tools like GitHub Copilot to enhance productivity.
Knowledge of or experience with MCP to integrate LLMs with external data sources and tools.

## Description

As a Senior Enterprise AI Engineer, you will be responsible for delivering a roadmap of improvements, focusing on the full lifecycle of AI applications-from initial prototyping to production-grade deployments.
Key Responsibilities Design, develop, and deploy high-quality, scalable software solutions, focusing on AI-enabled applications and infrastructure.
Lead and participate in technical projects and deployments of AI systems.
Mentor and guide team members on best practices in AI engineering.
Implement best practices (e.g., MLOps, AIOps) to enhance products/services and processes related to AI.
Optimize existing model serving and data pipelines to meet evolving performance and security requirements.
Conduct requirements gathering sessions with business stakeholders and data science teams.
Lead functional projects or work streams focused on AI infrastructure and tooling.