- Location
- Oxford, UK
- Workplace
- Hybrid, Onsite
- Type
- Full-time
- Department
- Engineering
- Seniority
- Lead
- Education
- Master
Description
Lead Software Engineer (AI)
Department: Tech - AI and Data Engineering
Employment Type: Permanent - Full Time
Location: Oxford, UK
Description
Please note that we are open to considering candidates who require visa sponsorship (subject to eligibility and company approval)
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 Lead 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 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.
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 Lead 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 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.
Key Responsibilities
- 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
Skills, Knowledge and Expertise
Required attributes:
- 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
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.
Skills
PythonAWSData Engineering
