AI Native Engineer (Agentic Development)
Hybrid · Helsinki, Uusimaa, Finland or Tampere, Pirkanmaa, Finland
Job Summary
AI-native Engineer (Agentic Development) role focused on shaping software delivery through agentic AI systems and executable specifications. Responsibilities include designing, building, testing, and operating enterprise-grade software using AI-first engineering practices; employing agentic workflows to accelerate implementation, refactoring, testing, documentation, and operational tasks; translating business requirements into machine-readable specifications; defining behavioral contracts and acceptance criteria using BDD/TDD-aligned practices; embedding quality through AI-assisted validation; building cloud-native solutions within the Microsoft ecosystem; contributing reusable patterns and guardrails for production-ready systems; collaborating with product managers, architects, and engineers to refine specifications into deliverable outcomes; and taking end-to-end ownership for delivery quality and maintainability. Requirements cover strong software engineering with .NET/C#, Azure production experience, AI-assisted development tools, AI agents and agentic workflows, specification-driven development, Azure cloud services, DevOps/infrastructure-as-code, observability and security considerations, and knowledge of Microsoft ecosystem tools. The role is hybrid in Finland with offices in Tampere, Helsinki, and Lappeenranta; residency/work authorization in Finland is required. Benefits include international team, flexible work-life balance, and competitive compensation. The posting notes no relocation support. Location notes and application deadline (June 7, 2026) are included in the posting.
Required Qualifications
- Strong experience in modern software engineering and cloud-native systems
- Advanced proficiency with .NET / C#, APIs, and distributed or event-driven architectures
- Experience building and operating enterprise-grade, production systems on Azure
- Hands-on experience using AI-assisted development tools such as GitHub Copilot, Claude, or similar coding agents
- Experience designing, building, or orchestrating AI agents and agentic workflows
- Solid understanding of prompt and context engineering, RAG patterns, tool-calling agents, and multi-agent systems
- Specification-driven development practices (BDD, TDD, executable specifications) and automated testing frameworks
- Ability to define clear, deterministic acceptance criteria for complex AI-assisted systems
- Experience designing or contributing to AI-assisted or automation-first QA approaches
- Hands-on experience with Azure and related services (Azure Functions, Azure SQL, Microsoft Fabric, Azure OpenAI, GitHub Actions or Azure DevOps, Terraform, Copilot Studio, Microsoft AI Foundry)
- Experience with infrastructure-as-code, CI/CD pipelines, and automated deployment strategies
- Understanding of observability, security engineering, and cloud governance principles in modern software delivery
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