Senior AI Engineer

Responsibilities

• check_circle Design and develop AI solutions, taking end-to-end ownership of AI features
• check_circle 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
• check_circle Identify and evaluate new data sources, design robust, scalable data pipelines
• check_circle Deploy and scale AI solutions on AWS cloud infrastructure
• check_circle Work closely with the broader software engineering team and stakeholders (internal and external) to innovate highly effective solutions
• check_circle Mentor and coach junior and mid-level engineers, fostering their growth
• check_circle Monitor the performance and accuracy of deployed AI solutions and iterate to improve them
• check_circle Champion a culture of innovation, continuous learning, and operational excellence
• check_circle Extensive experience in AI/ML development, 5+ years building complex software solutions with a focus on machine learning and AI
• check_circle Strong expertise in Python programming. Experience with ML frameworks such as scikit-learn, PyTorch, or TensorFlow is expected. Familiarity with Node/TypeScript is a plus
• check_circle Hands-on experience with modern AI/LLM tooling. We are looking for comfort with frameworks and libraries like LangGraph for building LLM applications
• check_circle 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/CloudFormation or similar) is required to manage our AI services lifecycle
• check_circle 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
• check_circle 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
• check_circle 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
• check_circle A Master’s or PhD in a relevant field (Computer Science, AI, Machine Learning, etc.) is a plus
• check_circle Background in the energy sector or similar domains is not required, but familiarity with handling time-series data, simulation models, or financial/market data could be beneficial since our company operates in the energy market space
• check_circle While your focus is AI, any experience building front-ends or full-stack applications can be helpful, as it indicates you understand how AI features need to plug into a product

Benefits

• check_circle Private Medical Insurance
• check_circle Voluntary pension scheme
• check_circle Voluntary group life insurance at corporate rate
• check_circle Employee Assistance Programme (EAP)
• check_circle Multi-sport Card

About the company