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Tech Stack
Tools & technologiesGoogle Cloud PlatformKubernetesPythonTypeScriptGo
About the role
Key responsibilities & impact- Find problems by working with operations, product, and business teams
- Identify where AI creates real value and where it does not
- Design solutions using agents, workflows, retrieval, or plain code
- Ship production services with the team in Go, Python, and TypeScript on GCP and Kubernetes
- Own reliability, cost, and evaluation
- Build agentic systems and AI integrations into existing products and operations
- Set the standard for AI-assisted development across the team
- Measure impact through evaluations, monitoring, and business metrics
- Stop initiatives that do not work
- Collaborate on an AI solution design challenge based on a real Huuva problem
Requirements
What you’ll need- Solid software engineer first; has shipped and run production systems end to end
- Comfortable across the stack: Go or Python, TypeScript, GCP, Kubernetes
- Hands-on with LLMs in production: agents, tool use, RAG, structured outputs, evals
- Thinks in business outcomes, not demos
- Ownership mindset; has led initiatives from scoping to rollout
- Pragmatic and able to recognize when AI is the wrong tool
- Located in EU/EEA with the right to work
- Willing to be in Helsinki regularly
- Not seeking a research role, pure prompt-engineering role, or ticket-based execution
Benefits
Comp & perks- Top-of-market compensation in Helsinki plus attractive equity
- Hybrid: remote flexibility plus an office in central Helsinki
- A close-knit team with a supportive culture
- Strong tooling, CI/CD, and engineering standards
- Time allocated for quality and experiments