Senior AI Software Engineer
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Role details
Tech stack
Job description
You will work in a small, fast-paced team that releases changes multiple times a day. The successful applicant will be an excellent problem solver, a strong team player, and a proven ability to take big projects from conception to production.
- Manage a team of Software Engineers and Data Scientists
- Own projects from end-to-end, from first conversations with users through to production systems
- Work with modelling and data teams to embed proprietary insights into production systems
- Deploy agentic systems that enable fast, multi-dimensional, data-driven decisions
Requirements
- 10+ years developing impactful, mission-critical backend systems
- The ability to work in fast-paced, high-ownership environments
- Excellence in one or more language (we mostly use Python)
- Strong discipline in testing and automation
- Experienced, judicious user of AI coding tools
- Previous experience managing teams of 5+ engineers
- An exceptional team player - low-ego, high-initiative
- Genuine interest in the transformation of energy markets and infrastructure, * Hands-on experience building LLM-based systems
- Experience testing non-deterministic systems
- Understanding of statistics and inferential methods
- LangGraph, RAG, MCP, MLOps, IaaC, AWS
About the company
Aurora helps governments, investors, and utilities make billion-dollar decisions on the journey to net-zero. Based in Oxford, you will work in a dynamic and growing engineering organisation that builds cloud-based software to track and model power grids around the world.
As a Software Engineer on the AI team you will build systems where LLMs autonomously plan, and call tools, to navigate large, multi-dimensional, fast-evolving data. Your work will amplify the value of Auroraβs data, models, and forecasts to researchers, investors, and policy-makers around the world, and directly impact the decisions that drive the decarbonisation of grids around the world.
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