Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Applied AI Engineer role.
Rezi rewrites your resume against Fuse Energy's job description. Free.
Tailor your resume to this Applied AI Engineer role.
Rezi rewrites your resume against Fuse Energy's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Applied AI Engineer posting at Fuse Energy — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the Applied AI Engineer posting at Fuse Energy — free, in seconds.
About the Role
As an Applied AI Engineer at Fuse Energy, you will focus on leveraging applied AI to enhance customer energy experiences and improve internal operations. This is an applied engineering role where you will own the entire lifecycle of AI features and tools, from conception to production.
Responsibilities
- Ship AI features for customers, such as personalized 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 (e.g., Temporal).
- Build the engineering around AI systems: cloud infrastructure, integrations, and access control.
- Own evaluation: datasets, golden answers, human and LLM judges, A/B tests.
- Choose models based on performance, latency, and cost, and revisit as models improve.
- Work with trading, operations, and backend teams to ensure models reflect real-time market conditions, energy pricing, demand, and weather forecasts.
- Monitor AI systems in production and maintain their reliability.
Requirements
- 3+ years of experience, with requirements varying by role level.
- Experience owning an applied AI system end-to-end, ideally in a startup or small team.
- Ability to explain what broke and how you knew it worked.
- A software engineer who moved into applied AI, or an ML engineer who writes production code.
- Strong Python (or similar) and experience deploying LLMs or VLMs into production.
- Solid understanding of cloud technologies, containerization, and scalable AI applications.
- Analytical, rigorous, and quick to learn.
- Ability to pick up new tools quickly.
Skills
- Applied AI
- LLM tools
- VLM tools
- Python
- Deploying LLMs
- Deploying VLMs
- Cloud technologies
- Containerization
- Scalable AI applications
- PyTorch
- TensorFlow
- Forecasting
- Weather modelling
- Demand modelling
- Energy markets
- Energy trading
- Fine-tuning
- RL
- Vision pipelines
- Document pipelines
- NLP pipelines
- Agent runtimes
- MCP
Experience Level
- 3+ years of experience
Salary/Compensations
- Competitive salary
Benefits
- Eligibility for equity
- Biannual bonus scheme
- Fully expensed tech to match your needs
- Private health insurance
- Breakfast and dinner allowance for office-based employees
About the Company
- Fuse Energy is an energy startup on a mission to make energy abundant and affordable, fast.
- We combine first-principles thinking with cutting-edge technology to build a radically better energy system.
- We've raised over $200M from top-tier investors including Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, 20VC, Hummingbird and Collaborative Fund, alongside strategic angels including Nico Rosberg and GPs behind Meta, Revolut, Spotify and Uber.
- We're building a fully integrated energy company: developing our own solar, batteries and other generation projects, building our own hardware, improving and developing grid infrastructure, trading power in real time, using AI across the business, and installing distributed energy in homes.
- By selling directly to consumers we cut out the middleman, lower costs and pass the savings on to our customers.