Senior AI Engineer

Senior AI Engineer

Department: Tech - Software Development

Employment Type: Permanent - Full Time

Location: Oxford, UK

Based in Oxford, you will work as part of a growing AI software team that is building innovative intelligent solutions. As a Senior AI Engineer, you will architect and develop AI-driven services using large language models, Retrieval Augmented Generation (RAG) pipelines, and multi-agent orchestration (using frameworks like Lang Graph) to power key products and internal tools at Aurora.

You will turn product ideas into reality by designing robust AI systems from concept to deployment, ensuring they are scalable, reliable, and deliver value for end-users. This role involves working closely with our product managers and stakeholders to integrate AI capabilities into our software platforms. You will be deploying these solutions on cloud infrastructure (including AWS Lambdas for serverless compute) and using modern MLOps practices to monitor and improve them in production.

As a senior member of the team, you will also provide technical leadership, driving architectural decisions, mentoring junior engineers, and championing best practices in AI development. You will also act as a key evangelist for AI-assisted engineering to ensure that Aurora leverages AI tooling effectively to achieve engineering excellence.

• Design and develop AI solutions, taking end-to-end ownership of AI features
• Build and maintain RAG pipelines, agentic orchestration, developing agent-based systems for complex multi-step tasks. Establish robust evaluation methods to measure the quality of our solutions, and its component parts
• Identify and evaluate new data sources, design robust, scalable data pipelines
• Deploy and scale AI solutions on AWS cloud infrastructure
• Work closely with the broader software engineering team and stakeholders (internal and external) to innovate highly effective solutions
• Mentor and coach junior and mid-level engineers, fostering their growth
• Monitor the performance and accuracy of deployed AI solutions and iterate to improve them
• Champion a culture of innovation, continuous learning, and operational excellence

Required attributes:

• Extensive experience in AI/ML development, 5+ years building complex software solutions with a focus on machine learning and AI
• Strong expertise in Python programming. Experience with ML frameworks such as scikit-learn, PyTorch, or Tensor Flow is expected. Familiarity with Node/Type Script is a plus
• Hands-on experience with modern AI/LLM tooling. We are looking for comfort with frameworks and libraries like Lang Graph for building LLM applications
• Proven experience deploying and operating AI solutions on cloud platforms (AWS preferred). You have used cloud services like AWS Lambda (or EC2/ECS) to host models or run AI workloads, and are familiar with data storage options (S3, databases). Experience with CI/CD pipelines for rapid deployment, containerisation (Docker), and automating infrastructure (Terraform/Cloud Formation or similar) is required to manage our AI services lifecycle
• Exceptional analytical and problem-solving skills. You can break down ambiguous problems (like improving an AI model’s relevance or figuring out why a pipeline is slow) and iterate to develop effective solutions
• Demonstrated ability to design and interpret complex quantitative analyses, using prototypes to translating insights into actionable strategies for business and product teams. Experience mentoring junior engineers or data scientists (providing guidance, code reviews, and fostering best practices) is required, as this role will help shape the growth of our AI team
• Excellent communication and collaboration abilities. You can effectively communicate complex AI concepts to different audiences, whether it’s explaining model results and limitations to product stakeholders or discussing technical details with fellow engineers

Desirable attributes:

• A Master’s or PhD in a relevant field (Computer Science, AI, Machine Learning, etc.) is a plus
• Background in the energy sector or similar domains is not required, but familiarity with handling…