Software Engineer Python AI - Renewable Energy
Design, build and run production Python software that applies AI/LLMs, APIs and data integration to real problems at a fast-scaling renewable energy company — prototyping from PoC to production and owning reliability, monitoring and security. Hybrid role based in London, salary up to £120k.
- Compensation
- £120K / yr
- Location
- London, United Kingdom
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Software engineering
- Posted
Skills
Must have
- Strong backend Python coding skills
- Experience designing, building and operating production software
- Practical experience applying LLMs, retrieval, tool use or evaluation
- Sound product judgement and ability to work with technical and non-technical users
- Comfort moving from experiments to maintainable production code and balancing build vs buy decisions
- Proactive ownership mentality and problem-solving drive
- 2.1+ degree from a top-tier university in a STEM discipline
Nice to have
- Cross-functional collaboration
- User-facing communication
- APIs and data integration
- Lightweight frontends
Full description
Overview
In this role you will design, build and operate production software that applies Python, APIs and AI to real business problems in a rapidly scaling renewable energy company. You’ll prototype quickly, collaborate with AI leads and domain experts, and deploy solutions into production with a focus on reliability and observability. You’ll help establish reusable AI engineering patterns as the AI capability grows. This position offers high autonomy and close collaboration with cross-functional teams across development, trading and asset management.
Pay / Benefits
- salary up to 120k
- pension
- progression opportunities
- hybrid work (London office, WFH twice a week)
Responsibilities
- Collaborate with cross-functional teams to identify if AI, conventional software, automation or process changes are best.
- Prototype, test and evaluate solutions from discovery through PoC to production.
- Develop production software across Python, APIs, data integration and lightweight frontends; incorporate LLMs, retrieval, tool use and agentic workflows.
- Own deployed solutions, including testing, security, permissions, monitoring and resilience.
- Help establish reusable AI engineering capabilities and patterns for model access, deployment, evaluation and observability.
- Shape technology and engineering culture as the AI capability grows.
Key requirements
- Strong backend Python coding skills
- Experience designing, building and operating production software
- Practical experience applying LLMs, retrieval, tool use or evaluation
- Sound product judgement and ability to work with technical and non-technical users
- Comfort with moving from experiments to maintainable production code and balancing build vs buy decisions
- Proactive ownership mentality and problem-solving drive
- 2.1+ from a top-tier university in a STEM discipline
- Cross-functional collaboration
- User-facing communication
- Pragmatic decision-making
- Backend Python development
- APIs and data integration
- Lightweight frontends