Senior AI Backend Engineer – Lead End-to-End (Oxford)

Aurora Energy Research; 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, based in Oxford, is seeking a Senior Software Engineer for the AI team. You will build systems where LLMs autonomously plan and call tools to navigate large, evolving data.

Your work will amplify Aurora's data, models, and forecasts for researchers, investors, and policymakers worldwide, influencing decarbonisation decisions. You will join a small, fast‑paced team releasing multiple changes daily, solving problems end‑to‑end, and driving production readiness across the

Qualifications

• 10+ years developing impactful, mission‑critical backend systems.
• Able to work in fast‑paced, high‑ownership environments.
• Excellence in Python and modern testing practices.
• Experienced in using AI coding tools to accelerate development.
• Previously managed teams of 5+ engineers.

Responsibilities

• Manage a team of Software Engineers and Data Scientists.
• Own projects end‑to‑end from user conversations to production systems.
• Collaborate with modelling and data teams to embed insights into production.
• Deploy agentic systems enabling fast, data‑driven decisions.

Skills

Backend systems

Python

Testing & automation

AI coding tools

Team leadership

Tools

LangGraph

RAG

MCP

MLOps

IaaC

AWS

Job description

Aurora Energy Research, based in Oxford, is seeking a Senior Software Engineer for the AI team. You will build systems where LLMs autonomously plan and call tools to navigate large, evolving data.

Your work will amplify Aurora's data, models, and forecasts for researchers, investors, and policymakers worldwide, influencing decarbonisation decisions. You will join a small, fast‑paced team releasing multiple changes daily, solving problems end‑to‑end, and driving production readiness across the