Build AI, ML and automation that reaches production.
Kolomolo is for practitioners who want to work on the hard middle of AI delivery: turning strategy, models, agents, data, sensors and platforms into services that customers can use, monitor, improve and operate.
Work on real delivery problems.
Our teams work across strategy, automation, predictive AI and engineering. The common thread is production: building services that connect to enterprise systems, cloud estates, sensor data, workflows, monitoring and operating models.
The work is practical and sometimes messy. Customers rarely arrive with perfect data, clean ownership or a fully prepared platform. Kolomolo practitioners help turn that complexity into services that can run after launch.
Work on AI, ML and automation services that need to run beyond the demo.
Use classical ML, anomaly detection, forecasting, optimisation, automation and modern AI depending on the problem.
Work with real systems, data, constraints, handovers, incidents, monitoring and improvement loops.
Work with people who understand delivery, not just strategy or slideware.
The kind of work you will see
Models and systems that turn sensor, telemetry and operational data into useful signals for manufacturing, telco, agriculture and distributed environments.
Agentic workflows, document intelligence, service automation and human-in-the-loop processes connected to enterprise systems.
The foundations that let AI and ML workloads run, monitor, improve and hand over safely after launch.
Monitoring, tuning, incident routines, drift review, cost visibility and handover for services that continue after go-live.
Who tends to do well here.
Kolomolo is a good fit for people who like practical complexity and can connect technical work to real operating environments.
People who like practical complexity.
You are comfortable with messy systems, incomplete data, legacy platforms and real operating constraints.
People who can connect disciplines.
You can work across engineering, data, operations, security, governance, product and customer teams.
People who care about production.
You think about monitoring, ownership, cost, failure modes, handover and long-term service quality.
People who communicate clearly.
You can explain technical trade-offs to delivery teams, customer stakeholders and senior decision-makers.
No public openings right now.
We're not actively hiring at the moment. New roles will be posted on this page when they open — check back soon.
Where we work from.
Kolomolo teams operate from Kraków and Stockholm, supporting enterprise customers across European and global environments. Some roles may involve remote work, customer workshops or delivery travel depending on the engagement.
Want to work on production AI delivery?
Tell us how your experience connects to AI, ML, automation, anomaly detection, platform engineering or managed operation.
Ready to move from pilots to production?
Book a briefing with a practitioner who has shipped the workload before. Bring a real problem and we'll dig in.