Senior AI Engineer

Ready for a challenge?

Then Just Eat Takeaway.com might be the place for you. We’re a leading global online delivery platform, and our vision is to empower everyday convenience.

Whether it’s a Friday-night feast, a post-gym poke bowl, or grabbing some groceries, our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery and convenience partners across the globe.

About this role:

A Senior AI Engineer opportunity within our Enterprise AI team. Working with a group of other AI Engineers to design, build, and deploy cutting-edge AI-powered solutions that drive business value across the organisation.

The Senior Enterprise AI Engineer is 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.
• Provide guidance and mentoring to other team members on best practices in AI engineering.
• Use best practices (e.g., MLOps, AIOps) to improve products/services and processes related to AI.
• Optimise existing model serving and data pipelines to meet changing performance and security requirements.
• Hold requirements gathering sessions with business stakeholders and data science teams.
• Lead functional projects or work streams focused on AI infrastructure and tooling.

Your Profile & Recommended Experience:

• Experience working 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).
• Enjoy automating processes.
• Knowledge of containers (Docker, Container Orchestration like Kubernetes/ECS/GKE).
• A genuine interest in and at least foundational experience with AI/ML concepts and technologies, demonstrating an eagerness to grow into a specialised AI Engineering role.
• Proven track record of delivering high-quality work and driving forward best practices in software engineering.
• Works independently and is able to solve complex
• Stays up to date with new technology 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.