Lead/Staff Full Stack Engineer, AI Platform & Agents

Location: Alphen aan den Rijn, Netherlands; remote-first team. Applicants may be required to appear onsite at a hirify.global office during the recruitment process.

Company

hirify.global develops information, software, and expert solutions for healthcare, legal, tax, and compliance industries.

What you will do

• Design and implement full-stack applications, AI agents, and reusable GenAI platform components.
• Build developer tooling, CI/CD, observability, evaluations, canary releases, and rollout and rollback mechanisms.
• Apply secure SDLC, threat modeling, least-privilege access, and privacy-by-design practices.
• Use LLM patterns including RAG, retrieval, routing, tool use, and evaluations to deliver reliable AI systems.
• Collaborate with product, UX, and domain experts on customer-focused solutions with measurable outcomes.
• Lead architecture and larger projects while mentoring engineers and remaining hands-on.

Requirements

• 5+ years of professional software engineering experience.
• Strong full-stack development and cloud experience across AWS, Azure, or GCP.
• Expertise in at least one of AI agent development and evaluation, backend, frontend, cloud services, CI/CD and infrastructure as code, SRE, quality engineering, or secure SDLC.
• Experience delivering secure, reliable, cloud-native systems to production.
• Excellent problem-solving, ownership, and cross-functional communication skills.
• Applicants should be based in the Netherlands; onsite participation may be required during the interview process.

Nice to have

• Experience taking AI agents from concept to production, including safety evaluations, A/B testing, and continuous improvement.
• Experience with LangChain/LangGraph, MCP, vector and RAG systems, and OpenSearch.
• Experience with traditional ML training, deployment, and monitoring.
• Understanding of LLM failure modes, fine-tuning, and model adaptation.
• Familiarity with SOC 2, HIPAA, or similar regulatory frameworks.

Culture & Benefits

• Remote-first work within a globally distributed team of approximately 100 engineers.
• High-autonomy environment with a manager-of-one mindset.
• Small sub-teams of fewer than 10 engineers focused on platform services or customer-facing agents.
• Direct reporting to the Director of Engineering, AI Platform.
• Initial onboarding focuses on one platform component, followed by alignment on a high-impact area.

Hiring process

• 15-minute introductory screen.
• Two live-coding interviews, one systems-design interview, and one presentation of past work.
• Typical process duration is 2–4 weeks; interviews must be completed without AI tools or external prompts.