About Myrspoven

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.

The role

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.

You will:

• Work across teams – Platform, Product, Customer Success and partners – to understand the problem before you build the solution

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

• Use AI agents as a natural part of how you work – to write, test, review and ship faster

• Improve the model – from data and features to training, evaluation and how it performs in real buildings

• Build and run the data pipelines and platform behind our AI – ingestion, processing, orchestration, deployment and monitoring

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

• Own what you build, from idea to production and beyond

Who you are

• 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.

• Experienced in data engineering. You have built data pipelines at scale with tools like Spark, Airflow or similar.

• 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.

Nice to have

• Cloud experience, ideally Azure

• Experience with time-series data or with taking ML models into production

• Knowledge of buildings, HVAC or energy systems

• Experience from a B2B SaaS scaleup

Technologies we use

You don't need to know all of these from day one, but familiarity with any of them is a plus:

• Language and tooling: Python, uv, Ruff, mypy, pytest

• ML and optimisation: JAX, Flax, Optax, scikit-learn, SciPy

• Data: Apache Iceberg, PyArrow, Polars, pandas, Spark, Kafka

• Platform: Airflow, Kubernetes and Helm, Docker, Nix, Azure

• Monitoring and apps: Prometheus, Grafana, FastAPI, Streamlit

What we offer

• Work that cuts energy use and emissions in real buildings, every day

• A friendly, relaxed workplace with smart, helpful colleagues who enjoy working together

• A small, senior team where your work goes straight to customers

• Lots of room to shape how we build with AI – tools, ways of working and architecture

• Competitive salary and stock options

• Hybrid work, with at least 3 days a week at our office on Södermalm in Stockholm

How to apply

Skip the cover letter. Instead, send us your CV with short answers to two questions:

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.