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AI Native Engineer (Agentic Development)

M-Files
CompanyM-Files
CategoryEngineering
LocationTampere
RemoteOn-site (inferred)
EmploymentFull-time
LevelNot stated
SalaryNot stated by the employer
Posted22 Jun 2026
Last verified30 Jul 2026
SourceEmployer career page (workable)
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Description
APPLICATION DEADLINE:  We encourage you to apply soon if interested, this role will be taken offline based on applicant volume.  Who We Are M-Files is redefining how work gets done. Our context-first document management system offers purpose-built business use cases—spanning universal and industry-specific workflows—to enable secure collaboration, automate processes, and ensure governance. Unlike traditional systems, M-Files organizes content around the context of your business, connecting documents to related people, projects, and transactions. With our unique metadata-driven architecture, organizations can model content in line with their business processes, unify information across silos, and apply AI at scale. The result is greater productivity, reduced risk, and smarter, faster decisions for over 6,000 customers in 100+ countries.  For more information, visit www.m-files.com We are looking for an AI Native Engineers (Agentic Development) to help shape how software is built at M‑Files in an AI‑native way. This role goes beyond traditional software development by combining software engineering, quality engineering, solution design, and end‑to‑end delivery through agentic AI systems, specification‑driven development, and modern cloud‑native practices. While the role has a broad scope, its exact focus will evolve based on your background, strengths, and interests. Some engineers may lean more towards agentic delivery workflows and specification‑driven development, while others focus more deeply on platform foundations, quality automation, or AI‑native product capabilities. What matters most is impact—not covering every area at once. You will work with AI as a core engineering primitive, using agentic workflows, executable specifications, and automation to accelerate delivery while maintaining production‑grade quality, governance, and maintainability across the Microsoft ecosystem. Location note: This is a hybrid role within Finland. Our offices are in Tampere, Helsinki, and Lappeenranta , and we are only considering candidates who are currently located in Finland. Mission Build and scale AI‑native software delivery capabilities where specifications become executable artifacts, testing is autonomous and continuous, AI agents accelerate implementation, and engineering teams deliver high‑quality systems significantly faster without compromising reliability or governance. Responsibilities AI‑native software delivery Design, build, test, and operate enterprise‑grade software using AI‑first engineering practices. Use agentic workflows to accelerate implementation, refactoring, testing, documentation, and operational tasks across the software development lifecycle.  Specification‑driven development Translate business and product requirements into clear, machine‑readable implementation specifications. Define behavioral contracts and acceptance criteria using specification‑driven, BDD‑ and TDD‑aligned practices, enabling AI‑assisted generation and validation of production‑ready systems.  Quality engineering and autonomous validation Embed quality into delivery through continuous, AI‑assisted validation rather than manual or phase‑based QA. Implement automated testing approaches such as contract testing, regression analysis, and synthetic test generation, ensuring strong traceability between specifications, code, and tests. Cloud and platform engineering Build scalable, cloud‑native solutions within the Microsoft ecosystem. Contribute reusable engineering patterns, templates, and guardrails, and help design secure, observable, and production‑ready systems using modern cloud and infrastructure‑as‑code practices. Product and delivery collaboration Work closely with product managers, architects, and fellow engineers to refine specifications into deliverable outcomes. Support rapid ex
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