Job Description

At WithSecure™, we protect businesses all over the world. Our SaaS solutions safeguard against modern cyber threats, and our innovative Co-security approach reflects our belief that true protection requires collaboration and shared expertise. No one can solve every cyber security problem alone. Our vision is to become Europe’s flagship in cyber security. Every day, our talented teams work to prevent cyber extortion, secure critical infrastructure, and prevent misuse of sensitive data. At WithSecure, it’s our people who make us exceptional – a diverse community that values passion, purpose, and a commitment to workplace well-being. If you’re ready to make an impact with a company that’s transforming cybersecurity, we’d love to hear from you.

In this role you will create new AI-native products and build agentic capabilities into WithSecure products. Work AI-first: design around what agents make possible rather than retrofitting AI onto a non-AI baseline. Operate as a true agentic engineer — direct AI agents, write precise specs, and own the outcomes of agent-driven work. Work at the leading edge of the agentic engineering toolkit, adopt new approaches as they emerge and drop ones that no longer earn their place.

Key Responsibilities

• AI-native product creation. Build new products designed AI-first, where the agent is the core experience.

• Tooling adoption. Stay current with the AI engineering tool stack. Evaluate, adopt, and drop tools as the landscape evolves; bring proven additions to the team.

• Fast iteration. Move from idea to working prototype in hours or days. Use agentic engineering to compress the build-test-learn loop.

• Spec-driven engineering. Translate product intent into precise, agent-consumable specs. Treat wrong agent output as a signal about spec quality before treating it as a model failure.

• Eval and guardrail design. Define behavioral evals, regression suites, and safety guardrails for agentic features that face customers.

• Production-grade agentic features. Meet the production bar for cost, latency, observability, failure handling, and security in every agentic feature shipped.

• Customer-facing agent quality. Take responsibility for how agentic features behave under real customer use, including edge cases, adversarial inputs, and recoverable failure paths.

What are we looking for?

• Software engineering foundation: design, debugging, testing, code review, performance, security.

• Hands-on fluency with current agentic engineering practices: headless agent runtimes, MCP and tool composition, subagent orchestration, eval and tracing platforms, spec-driven workflows.

• Practical experience building features that integrate LLMs, agents, or autonomous workflows into production systems.

• Experience of fast prototyping and short iteration cycles.

• Self-directed learning habit demonstrated by visible adoption of new tools and techniques.

• Working knowledge of cybersecurity fundamentals, enough to operate credibly in a security product context, without needing to be a security specialist.

Key Competencies:

• Agentic engineering. Directs agents rather than implements code. Decomposes work for agent delegation, writes precise specs, and reviews agent output at the rigor needed for production code.

• Tooling fluency and renewal. Maintains practical mastery of the current AI engineering tool stack. Picks up new tools quickly.

• Spec craft. Writes specs that agents can consume directly. Uses agent failure as a diagnostic for spec quality.

• Eval design. Builds behavioral evals that distinguish agentic features that work from those that only look like they work. Distinguishes tests from evals and applies each in the right place.

• Context engineering. Structures the information agents receive to maximize output quality, repo configuration, in-context examples, scoped tool access.

• Agent debugging. Traces wrong agent output to its source: spec, context, model reasoning, or tool use.

• Production sense for AI features. Reads cost, latency, failure modes, and security risk of agentic features early enough to design around them.

• Critical evaluation. Reviews AI-generated output: code, specs, designs. Recognizes subtly wrong output without rubber-stamping.

Bonus points:

• Strong proficiency in AI technologies and tools.
• Proven experience in applying AI solutions to solve real-world business or technical challenges.
• Ability to collaborate with cross-functional teams to implement AI-driven initiatives.
• Strong problem-solving skills, analytical thinking, and continuous learning mindset to keep up with evolving AI technologies.

If you don’t tick every box above, don’t worry — we’re more interested in your potential and willingness to learn.

The salary displayed on this page represents the starting point for the role. Final compensation is discussed individually and depends on experience, skills, and the local market.

What will you get from us

• Meaningful work with real-world impact – your work helps protect businesses and critical infrastructure from modern cyber threats.
• Flexible ways of working, including up to 30 days per year working abroad and paid sick leave from day one.
• A strong focus on well-being, with mental health support and comprehensive benefits.
• Continuous learning, modern tools, and a people-first culture that values trust and collaboration.