Applied AI Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 2d ago
The date the source published, not the day we noticed it (2026-11-04). Last seen at its source 1h ago.
We have tracked this listing since 4 Nov 2026 (1 days). The employer's own board has carried it every time we have read it, most recently 1 hour ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
United Kingdom, United States, Switzerland, United Arab Emirates, Germany
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay, by region:
- Europe €60.2k–113.7k/yr (367 listings, all levels)
- North America $155k–225k/yr (5,450 listings, all levels)
- Middle East $19–37/hr (11 listings, all levels)
Middle 50% of Engineering listings that do state pay in each region, in the currency most of them state. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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Workable employer's own board first seen 1d ago · last seen 1h ago
The listing
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.
We’re building a cutting-edge AI team, and this role is for an engineer who wants to apply AI to real problems in energy. As an Applied AI Engineer, you’ll help build our Product Factory: an agentic pipeline that takes software from requirements and design through code review, deployment and monitoring, with human review where the risk calls for it.
You’ll also ship customer-facing features using VLMs and LLMs, and build AI tools and agents that make teams across Fuse more productive, from customer support to warehouses and back office. This is an applied engineering role, not pure research: you’ll own what you build, from spec to production.
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 (e.g. Temporal).
- Build the engineering around them: cloud infrastructure, integrations, and access control so users and agents only reach what they should.
- Own evaluation: datasets, golden answers, human and LLM judges, A/B tests. Know whether a change genuinely helped.
- 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, with requirements varying by role level.
- Experience owning an applied AI system end to end, ideally in a startup or small team, and able 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. We value both.
- Strong Python (or similar) and experience deploying LLMs or VLMs into production.
- Solid understanding of cloud technologies, containerisation and scalable AI applications.
- Analytical, rigorous and quick to learn. You don’t need our exact tools, just the ability to pick them up.
- Bonus: PyTorch or TensorFlow; forecasting, weather and demand modelling; energy markets and trading; fine-tuning or RL; vision, document or NLP pipelines; agent runtimes.
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
As we hire globally, benefits may vary by location.