Lead Product Software Engineer (AI)

TL;DR

Lead Product Software Engineer (AI): Building and optimizing a central GenAI platform and impactful AI agents for critical industries like healthcare, legal, and tax, with an accent on scalable development, validation, and deployment capabilities. Focus on designing and shipping full-stack systems, applying current LLM patterns for measurable customer value, and ensuring safety and reliability at a global scale.

Location: Hybrid (8 days/month) in Alphen aan den Rijn, Netherlands

Company

hirify.global is an established company combining stability with the agility of a startup, building a central GenAI Platform to empower hundreds of product teams across the organization.

What you will do

• Design and implement full-stack applications, AI agents, and platform components that enable rapid GenAI agent development, validation, and deployment.
• Build developer tooling, CI/CD, and observability for safe and fast iteration, including evals, canaries, rollout/rollback, and cost/quality telemetry.
• Apply secure SDLC and privacy-by-design practices, such as threat modeling and least privilege.
• Collaborate with product, UX, and domain experts to deliver customer-focused solutions with measurable outcomes.
• Apply current LLM patterns like RAG, retrieval, routing, tool-use, and evals to deliver measurable customer value and improve AI system performance.
• Lead by example, driving architecture, mentoring engineers, and taking ownership of larger projects.

Requirements

• 5+ years of professional software engineering experience.
• Strong full-stack development skills and cloud experience (AWS/Azure/GCP).
• Expertise in at least one of AI Agent development/evaluation, Backend/Frontend development, Cloud services, CI/CD/IaC, SRE, Quality engineering, or Secure SDLC/privacy by design.
• Proven track record delivering secure, reliable, cloud-native systems to production.
• Excellent problem-solving, ownership, and cross-functional communication skills.
• English: B2 required.

Nice to have

• Proven ability to deliver software products independently or as part of a small, fast-paced team.
• Experience taking AI agents from concept to production, including safety evaluations and iterative testing.
• Experience with LangChain/LangGraph, vector/RAG systems, or OpenSearch.
• Familiarity with traditional ML tasks like training, deployment, and monitoring.
• Understanding of LLM mechanics, failure modes, and techniques like fine-tuning.
• Familiarity with regulatory frameworks such as SOC2, HIPAA.

Culture & Benefits

• Globally distributed team of approximately 100 engineers.
• Values a "manager of one" mindset, focusing on outcomes over optics.
• High-autonomy, high-impact role with direct reporting to the Director of Engineering, AI Platform.
• Combines the stability of an established company with the agility of a startup.
• Fast-paced environment with many opportunities for significant impact.

Hiring process

• 15-minute intro screen.
• 2 live coding sessions in preferred language.
• 1 systems design interview.
• 1 presentation of past work.
• Typically 2-4 weeks timeline.
• Participation in interviews without the assistance of AI tools or external prompts is required.
• Applicants may be required to appear onsite at a hirify.global office as part of the recruitment process.