Lead AI engineering initiatives involving LLM-based agentic systems that autonomously plan and call tools across complex energy data. Manage software engineers and data scientists, own projects from discovery through production, integrate proprietary models and insights, and deliver highly automated, tested backend systems. The role requires extensive backend engineering experience, team management, strong Python skills, and the ability to operate in a fast-paced, high-ownership environment.
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 Aurora's 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.
You will manage a fast-paced team that releases changes multiple times a day. The successful applicant will be an excellent problem solver, a strong team leader, and have a proven ability to take big projects from conception to production.
We're open to a range of candidates - the role and compensation will reflect your experience.
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 Aurora's 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.
You will manage a fast-paced team that releases changes multiple times a day. The successful applicant will be an excellent problem solver, a strong team leader, and have a proven ability to take big projects from conception to production.
We're open to a range of candidates - the role and compensation will reflect your experience.
Key Responsibilities
- Manage a team of Software Engineers and Data Scientists
- Own projects from end-to-end, from first conversations 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
Skills, Knowledge and Expertise
Required attributes:
- 10+ years developing impactful, mission-critical backend systems
- Previous experience managing teams of 5+ engineers
- The ability to work in fast-paced, high-ownership environments
- Excellence in multiple languages (we mostly use Python)
- Strong discipline in testing and automation
- Experienced, judicious user of AI coding tools
- An exceptional team player - low-ego, high-initiative
- Genuine interest in the transformation of energy markets and infrastructure
Desirable attributes:
- Hands-on experience building LLM-based systems
- Experience testing non-deterministic systems
- Understanding of statistics and inferential methods
- LangGraph, RAG, MCP, MLOps, IaaC, AWS
What we offer
Some of the benefits we include are:
- Private Medical Insurance
- Dental Insurance
- Parental Support
- Salary-Exchange Pension
- Employee Assistance Programme (EAP)
- Local Oxford Discounts
- Cycle-to-work Scheme
- Flu Jabs
At AER, we are committed to offering flexibility in the way we work. Most of our roles are hybrid with a mix of in-office/home working and potentially adjustable working hours. Let’s discuss what works for you and AER during the interview process.
The Company is committed to the principle that no employee or job applicant shall receive unfavourable treatment on grounds of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage or civil partnership, pregnancy, and maternity.
To apply, please submit your Résumé / CV, a personal summary, your salary expectations and please inform us of your notice period.
Unfortunately, we are unable to accept applications via email, telephone, or social media platforms. To be considered for this position, please submit your application using the link provided. Applications submitted through any other channel will not be reviewed.
Unfortunately, we are unable to accept applications via email, telephone, or social media platforms. To be considered for this position, please submit your application using the link provided. Applications submitted through any other channel will not be reviewed.
About
From its academic roots, Aurora Energy Research is a thriving, rapidly growing company, currently serving over 1000 of the world’s most influential energy sector participants, including utilities, investors, and governments. While we constantly strive to reach new markets and diversify our product portfolio, we are already active across the globe in Asia-Pacific, Latin America, Europe, South Africa and North America, working with leading organisations to provide comprehensive market intelligence, bespoke analytic and advisory services, and cutting-edge software. We are a diverse team of experts with vast energy, financial, and consulting backgrounds, covering power, hydrogen, carbon, and fossil commodities. With this, we provide data-driven intelligence to fuel strategic decisions in the global energy transformation.
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