Software Engineer, AI for Smart Buildings (Hybrid, Stock Options)

Myrspoven

Stockholms kommun

Hybrid

SEK 900,000 - 1,350,000

Full time

10 days ago

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Benefits offered by this job

Hybrid work
Stock options
Office on Södermalm

Job summary

My rspoven in Stockholm seeks a software engineer for its AI team. You will enhance the model that optimises buildings and build the data/platform foundation it runs on. You will overlap with Platform, Product, Customer Success and partners to ship reliable AI features.

You will own the full lifecycle from data to deployment, work with AI agents, and help scale solutions across new buildings, balancing performance with customer value.

Qualifications

  • Proven experience building and running software in production.
  • Experience building data pipelines at scale (e.g., Spark, Airflow or similar).
  • Familiarity with AI agents and using them to augment development work.

Responsibilities

  • Collaborate across Platform, Product, Customer Success and partners to understand problems before building solutions.
  • Share knowledge and work closely with teammates in small, redundant teams.
  • Use AI agents to write, test, review and ship code faster.
  • Improve the model from data, features, training to real-world performance in buildings.
  • Build and run the data pipelines and platform behind the AI system: ingestion, processing, orchestration, deployment and monitoring.
  • Visualise building data and model decisions for internal teams and customers.
  • Own projects from idea to production and beyond.

Skills

Strong software engineer
Data engineering
AI agents usage
Product mindset
Clear communication
Curiosity
Team collaboration
Ownership of work

Job description

My rspoven in Stockholm seeks a software engineer for its AI team. You will enhance the model that optimises buildings and build the data/platform foundation it runs on. You will overlap with Platform, Product, Customer Success and partners to ship reliable AI features.

You will own the full lifecycle from data to deployment, work with AI agents, and help scale solutions across new buildings, balancing performance with customer value.

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