Senior Fullstack Engineer (AI)

TL;DR

Principal Fullstack Engineer (AI): Building and optimizing a central GenAI platform and impactful AI agents for critical industries like healthcare, legal, tax, and compliance with an accent on rapid development, validation, and deployment capabilities. Focus on designing full-stack systems, shaping platform capabilities, and applying current LLM patterns for measurable customer value.

Location: Hybrid in Huerth or Ludwigsburg, Germany. Remote-first options available for candidates based in the US or EU. Collaboration requires 9–11 AM CST overlap.

Company

hirify.global is an established global information services company building a central GenAI Platform to empower product teams and drive innovation across healthcare, legal, tax, and compliance industries.

What you will do

• Design and implement full-stack applications, AI agents, and platform components.
• Build developer tooling, CI/CD, and observability for safe, fast iteration.
• Apply secure SDLC and privacy-by-design practices.
• Collaborate with product, UX, and domain experts to deliver customer-focused solutions.
• Apply current LLM patterns (RAG, retrieval, routing, tool-use, evals) to deliver measurable customer value.
• Lead by example through writing high-quality, maintainable code.

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, Backend, Frontend, Cloud services, CI/CD/IaC, SRE, Quality engineering, Secure SDLC/privacy.
• Proven track record delivering secure, reliable, cloud-native systems to production.
• Excellent problem-solving, ownership, and cross-functional communication.
• English: B2+ required.

Nice to have

• Proven ability to deliver software products independently or in fast-paced teams.
• Experience taking AI agents from concept to production, including safety evaluations and iterative testing.
• Experience with LangChain/LangGraph, MCP, vector/RAG systems, OpenSearch.
• Worked on traditional ML tasks (training, deployment, monitoring).
• Understanding of LLMs, their failure modes, and techniques like fine-tuning.
• Familiarity with regulatory frameworks (SOC2, HIPAA).

Culture & Benefits

• Remote-first team within a larger organization, combining stability with startup agility.
• Globally distributed team of ~100 engineers.
• Manager of one mindset, valuing outcomes over optics.
• High autonomy, high impact role.
• Opportunity to directly contribute to impactful AI agents like UpToDate Expert AI.
• Occasional travel for team onsites/offsites.

Hiring process

• 15-minute intro screen.
• 2x live coding in preferred language.
• 1x systems design.
• 1x presentation of past work.
• Typically 2–4 weeks timeline.
• Submission of resume and cover letter with a "Statement of Exceptional Work".
• Interviews conducted without AI tools or external prompts.