Senior AI Software Engineer - LLMs for Grid Decarbonisation

Aurora Energy Research Limited; Oxford; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Private Medical Insurance

Dental Insurance

Parental Support

Salary-Exchange Pension

Employee Assistance Programme (EAP)

Local Oxford Discounts

Cycle-to-work Scheme

Flu Jabs

Job summary

Aurora Energy Research Limited seeks a Senior Software Engineer (AI) to lead backend systems supporting cloud-based tools for grid modelling and energy market analysis. You will guide a small, fast-paced team and own projects from concept through production, delivering data-driven AI-enabled decisions for researchers, investors and policy-makers worldwide.

The role emphasizes building LLM-powered systems, tooling, and automation, with hybrid work in Oxford.

Qualifications

• 10+ years developing backend systems
• Experience leading teams of 5+ engineers
• Strong Python and backend development skills
• Proven testing and automation discipline
• Familiar with AI coding tools and modern development workflows
• Interest in energy markets and decarbonisation

Responsibilities

• Manage a team of Software Engineers and Data Scientists
• Own projects end-to-end from discovery to production
• Collaborate with modelling and data teams to embed insights
• Deploy agentic systems enabling fast data-driven decisions

Skills

Team leadership

Backend systems

Python

Testing & automation

AI coding tools

5+ engineers management

Data-driven decisions

Collaboration

Tools

Python

AWS

LangGraph

RAG

MCP

MLOps

IaaC

Job description

Aurora Energy Research Limited seeks a Senior Software Engineer (AI) to lead backend systems supporting cloud-based tools for grid modelling and energy market analysis. You will guide a small, fast-paced team and own projects from concept through production, delivering data-driven AI-enabled decisions for researchers, investors and policy-makers worldwide.

The role emphasizes building LLM-powered systems, tooling, and automation, with hybrid work in Oxford.