Engineering Manager, Alwin Agent Runtime (AI)

Location: Amsterdam, Netherlands; hybrid work with at least 3 days onsite in the Amsterdam office

Company

hirify.global is a profitable Netherlands-based scaleup building AI solutions that help audit and finance professionals trace and verify evidence.

What you will do

• Lead the Alwin Agent Runtime engineering team through measurable outcomes, clear goals, mentorship, feedback, and performance management.
• Build AI-powered agents that automate assurance workflows including risk assessment, evidence gathering, control testing, and documentation generation.
• Own the technical direction and architecture of a reliable, observable, secure, and effective agent runtime.
• Guide the design and scaling of agentic systems combining LLMs, document intelligence, business workflows, and human oversight.
• Partner with Product, Infrastructure, and Engineering teams to translate customer needs into AI experiences and roadmap decisions.
• Shape team scope, establish new teams when needed, promote AI-assisted engineering, and foster experimentation, documentation, learning, and operational excellence.

Requirements

• At least 3 years of experience leading and managing engineering teams, including performance, growth, professional development, mentorship, feedback, and goal setting.
• At least 5 years of experience as a software engineer building scalable, reliable, and high-quality software systems.
• Experience leading engineering teams that use AI day to day and improving their effectiveness.
• Experience building AI-powered products or platforms, ideally involving LLMs, agentic workflows, document processing, or automation systems.
• Empowerment-oriented management style focused on outcomes and trust rather than task assignment.
• Strong product aptitude, including challenging product framing, translating customer needs into technical solutions, and making roadmap trade-offs.
• Strong understanding of software architecture, distributed systems, APIs, and cloud-native development.
• Production operations experience focused on reliability, observability, and maintainability.
• Track record of growing engineers, creating high-performing teams, shaping product and technical direction, and defining team scope in a fast-moving scaleup.

Nice to have

• Experience building and deploying GenAI applications in production.
• Experience with agentic systems, orchestration frameworks, or AI-powered workflow automation.
• Experience with Python and modern backend development practices.
• Familiarity with Azure AI services, document intelligence, and cloud infrastructure.
• Experience with observability and monitoring tools, testing strategies, and engineering quality practices.
• Experience working in startups or scaleups, fintech, audit technology, or document-intensive workflows.

Culture & Benefits

• Hybrid work model with at least 3 days onsite in the Amsterdam office.
• Equity through Stock Appreciation Rights and a pension plan with a 6% contribution on top of base salary.
• 28 vacation days per year for full-time employment.
• Daily prepared lunches, an NS business card for applicable commuting, and access to mental health and wellness support.
• Continuous learning and development initiatives, an international team across five global offices, and company-wide events.

Hiring process

• Recruitment screen and hiring manager interview, both 30 minutes online.
• 60-minute online system design interview and 60-minute onsite Product Insight Discussion.
• 30-minute final interview online.