Description
We are seeking a Software Engineer to join our Agentic Engineering team. You will work directly with business users to understand operational business problems and identify opportunities to improve business processes.
Key Responsibilities:
- Collaborate with business users to understand poorly defined operational business problems and identify opportunities for improvement
- Use excellent communication and influencing skills to build rapport with business colleagues and influence key decision makers
- Apply systems thinking, agentic AI, and data analysis skills to understand underlying business problems and friction points
- Identify and explore options for addressing business issues using Agentic AI, Software Engineering, and Architecture skills
- Develop short-term solutions driving immediate business value by creating and iterating prototypes in close collaboration with business users
- Inform architecture and/or product roadmaps using insights into key parts of the business
Essential Skills:
- Extensive experience of software engineering using Java (or Kotlin) in a complex commercial environment
- Experience of Agentic Engineering, including working with agentic coding environments and automated engineering workflows
- Experience of building and implementing agentic systems using agent orchestration and frameworks, and advanced prompt/context engineering
- Understanding of state and memory management, deterministic guardrails and evaluation (Evals), tool and API integration, agentic protocols including MCP, A2A, UCP
- Experience of working with cloud-based data platforms (Snowflake)
- Experience of deploying/running solutions on cloud-based infrastructure (GCP)
- Proven ability to translate raw data into actionable insights that drive problem-solving
- Excellent communicator and influencer with the ability to question and challenge stakeholders
Desirable Skills:
- Using data science techniques to extract actionable insights and meaningful patterns from raw data
- Experience of using systems thinking techniques to solve complex, dynamic problems and find leverage points
- Domain knowledge of retail
What We Offer:
- Expected salary: up to £115,000 (depending on experience)
- Flexible working: hybrid working role, primarily split between working from home (in the UK) and our London Office
- Opportunity to work with a talented team and contribute to the development of innovative solutions