Description
Fuse Energy is an energy startup on a mission to make energy abundant and affordable, fast.
As an Applied AI Engineer, you will work on consumer features using VLM and LLM tools, and build AI tools and agents that make teams across Fuse more productive.
Responsibilities:
- Ship AI features for customers, such as personalised energy recommendations and onboarding from an energy bill.
- Build LLM applications and agents for support, engineering, warehouse and back-office teams, including multi-agent systems and durable workflows.
- Build the engineering around them: cloud infrastructure, integrations, and access control.
- Own evaluation: datasets, golden answers, human and LLM judges, A/B tests.
- Choose models by performance, latency and cost, and revisit as models improve.
- Work with trading, operations and backend teams so models reflect real-time market conditions, energy pricing and demand and weather forecasts.
- Monitor AI systems in production and keep them reliable.
Requirements:
- 3+ years of experience.
- Experience owning an applied AI system end to end, ideally in a startup or small team.
- A software engineer who moved into applied AI, or an ML engineer who writes production code.
- Strong Python and experience deploying LLMs or VLMs into production.
- Solid understanding of cloud technologies, containerisation and scalable AI applications.
- Analytical, rigorous and quick to learn.
Benefits:
- Competitive salary and eligibility for equity.
- Biannual bonus scheme.
- Fully expensed tech to match your needs.
- Private health insurance.
- Breakfast and dinner allowance for office-based employees.