AI Engineer
AI Summary
Builds and ships ML models that forecast household renewable energy production and consumption, turning forecasts into operational decisions for battery charging and grid sales.
About this role
We're hiring an AI Engineer who'd rather ship a working model into a customer's home than debate benchmarks on Twitter.
Elvy helps Swedish households produce, store and use their own renewable energy. Solar, batteries, heat pumps and electricity retail, all from one partner. We build the software that turns a noisy rooftop of sensors into a clear answer about whether the customer is saving money this month.
What you'll do
Build ML systems that forecast household production and consumption, then turn those forecasts into decisions (when to charge the battery, when to sell to the grid).
Ship models end-to-end: feature pipeline, training, evaluation, deployment, monitoring. No throwing notebooks over the wall.
Work directly with the data from our 10k+ installed systems and the electricity spot market.
Pair with backend and data folks to decide what's worth modelling and what's worth solving with a rule.
Who you are
Pragmatic about ML. You reach for a regression before a transformer. You know when a model is overfit to the demo.
Comfortable in production. You've owned something that ran 24/7 and woken up when it didn't.
Domain-curious. Energy is a weird problem space (physics, regulation, weather, consumer behaviour). You think that's a feature, not a bug.
Swedish or English in the day-to-day. Our engineering language is English. Our customers are Swedish. You only need the first.
Current stack:
Frontend: React app in JS/TS, built on Panda CSS (sadly) and TanStack, deployed on Vercel.
Backend: FastAPI in Python, containerized with Docker and deployed on GCP.
Claude is doing alot of things to.
Practical information
Location: Elvy HQ, hybrid (2-3 days in office)
Employment: Full-time, permanent
Compensation: Market rate for the role and experience, we share the range at first call
Start: As soon as you can, we're flexible
Language: English at work, Swedish optional
Don't match everything? Apply anyway. We'd rather see a portfolio than a checklist.
Build the models that tell a family in Örebro whether they're actually saving money this month.
Skills
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