Software Engineer – AI Team (Data & ML)

Buildings use a huge share of the world's energy, and most of it is controlled by rules written decades ago. Myrspoven changes

that. Our AI controls heating, cooling and ventilation in real time, cutting energy use and emissions while keeping people

comfortable.

Our products myCoreAI and myLoadShift run in buildings today. We are a growth-stage scaleup in Stockholm, and we are now looking

for a software engineer to join our AI team.

You will join our AI team, which owns the model that optimises our customers' buildings and that our whole product is built on –

along with the data and systems around it. The team's mission is to make our optimisation smarter, more reliable and easier to

scale to new buildings – and to make it understandable. Through visualisation and clear explanations, we help our users see what

the model does, how it works and why it makes the decisions it does.

This is a software engineering role: you will improve the model itself and build the data and platform foundation it runs on.

Agents write more and more of our code, so what we value most is the engineering judgement around it: framing the problem,

designing the system and knowing that what we ship actually works.

• Share knowledge and work closely with your teammates – we keep teams small but redundant, so no one is a single point of

failure

• Visualise building data and the model's decisions so they are easy to explore and understand for internal teams and for

customers

• A strong software engineer. You have solid experience building and running software in production. You understand how systems

fit together, read code critically and know how to dig into the details when something breaks. You are at home in Linux and on

the command line.

• Self-driven with AI agents. You already use coding agents daily, know their strengths and limits, and work independently with

them – steering, reviewing and verifying what they produce rather than just accepting it.

• Product-oriented. You care about why something is built, not only how. You think in terms of customer value and are happy to

challenge a requirement.

• A clear communicator. You work well across teams, explain technical trade-offs and complex ideas simply – in words and visuals

– and you ask early and keep others in the loop.

• Curious. You like to understand how things work – the data, the buildings, the customers – and you keep learning as the tools

change.

• Ready to pitch in. We are a small company with varied needs, so you jump in where you are needed, even when it is outside your

usual area.

• Excited about what we do. You believe AI can make buildings far more energy efficient, and you want to help make that happen at

scale.

1. Tell us about something you built that ran in production, and what went wrong. We care more about how you handled the problem

than about how impressive the project was.

2. How do you use AI agents in your work today? Be concrete: which tools you use, what you use them for, and where they still

fall short.