Lead/Staff Full Stack Engineer (AI Platform & Agents)

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

Company

hirify.global is an established company building information and technology products 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, rollback mechanisms, and cost and quality telemetry.
• Apply secure SDLC, threat modeling, least privilege, and privacy-by-design practices.
• Use LLM patterns such as RAG, retrieval, routing, tool use, and evaluation to improve reliability, safety, latency, and cost.
• Collaborate with product, UX, and domain experts to deliver customer-focused solutions with measurable outcomes.
• Drive architecture, lead larger projects, mentor engineers, and remain hands-on through production delivery.

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 or frontend development, cloud services, CI/CD and infrastructure as code, SRE, quality engineering, or secure SDLC.
• Proven experience delivering secure, reliable, cloud-native systems to production.
• Strong problem-solving, ownership, and cross-functional communication skills.

Nice to have

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

Culture & Benefits

• Remote-first, globally distributed engineering organization of approximately 100 engineers.
• High-autonomy environment combining the stability of an established company with startup agility.
• Outcome-focused culture with a manager-of-one mindset and authority earned through demonstrated impact.
• Work on a central platform used by hundreds of product teams and on AI agents such as UpToDate Expert AI.

Hiring process

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