Principal Fullstack Software Engineer (AI)

Location: Warsaw, Poland; hybrid work with 8 office days per month

Company

hirify.global provides software and information solutions for professionals across health, justice, commerce, sustainability, and other critical industries.

What you will do

• Design and implement full-stack applications, AI agents, and platform components for GenAI agent development, validation, and deployment.
• Build developer tooling, CI/CD, observability, evaluations, canary releases, rollback processes, and cost and quality telemetry.
• Apply secure SDLC, threat modeling, least privilege, and privacy-by-design practices.
• Use LLM patterns including RAG, retrieval, routing, tool use, and evaluations to improve speed, reliability, trust, safety, and cost per query.
• Collaborate with product, UX, and domain experts to deliver measurable customer outcomes, including the UpToDate Expert AI medical research and clinical reasoning agent.
• Lead architecture and larger projects hands-on, mentor less experienced engineers, and take solutions from concept to production.

Requirements

• 8+ years of professional software engineering experience.
• Strong full-stack development and cloud experience with AWS, Azure, or GCP.
• Expertise in at least one of the following and proficiency across the others: AI agent development and evaluation, backend development, frontend development, cloud services, CI/CD and Infrastructure as Code, SRE, quality engineering and testing strategy, or secure SDLC and privacy by design.
• Proven experience delivering secure, reliable, cloud-native systems to production.
• Excellent problem-solving, ownership, and cross-functional communication skills.

Nice to have

• Experience delivering software products independently or within a small, fast-paced team.
• Experience taking AI agents from concept to production, including safety evaluations, iterative testing such as A/B testing, and continuous improvement.
• Experience with LangChain, LangGraph, MCP, vector and RAG systems, or OpenSearch.
• Experience with traditional ML training, deployment, and monitoring.
• Understanding of LLMs, failure modes, fine-tuning, and model adaptation.
• Familiarity with regulatory frameworks such as SOC 2 and HIPAA.

Culture & Benefits

• Join a 100-engineer team within an established global technology organization with startup-like agility and high autonomy.
• Work in an inclusive environment that values diversity, creativity, growth, and high performance.
• Hybrid working arrangement based in Warsaw, with 8 office days per month.
• Onboarding begins with a deep dive into one platform component and small improvements during the first month, followed by alignment on a high-impact area.

Hiring process

• Complete a 15-minute introductory screen, two live-coding interviews in a preferred language, one systems-design interview, and one presentation of past work; the process typically takes 2–4 weeks.
• Submit a resume and brief cover letter containing a “Statement of Exceptional Work” describing one impactful project, your role, technical and product challenges, solutions, and measurable outcomes.
• Do not include proprietary or confidential information. Interviews must be completed without AI tools or external prompts; AI-generated responses or third-party support may result in disqualification, and some interviews may require onsite attendance.