Lead/Staff Fullstack Engineer (AI)

TL;DR

Lead/Staff Fullstack Engineer (AI): Building the GenAI platform and impactful AI agents to power critical decisions in healthcare, legal, tax, and compliance industries with an accent on rapid development, validation, and deployment capabilities. Focus on designing and shipping full-stack systems, shaping platform capabilities, and applying current LLM patterns to deliver measurable customer value.

Location: Hybrid (8 days/month) in Huerth or Ludwigsburg, Germany. Applicants may be required to appear onsite as part of the recruitment process.

Company

hirify.global builds a central GenAI Platform to empower product teams and drives the development of impactful AI agents 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, drive architecture, mentor engineers, and take ownership of larger projects.

Requirements

• 5+ years of professional software engineering experience.
• Strong full-stack development skills and cloud experience (AWS/Azure/GCP).
• Expert in at least one, and proficient across the others: AI Agent development/evaluation, Backend, Frontend, Cloud services, CI/CD/Infrastructure as Code, Site Reliability Engineering (SRE), Quality engineering/testing strategy, Secure SDLC/privacy by design.
• Proven track record delivering secure, reliable, cloud-native systems to production.
• Excellent problem-solving, ownership, and cross-functional communication.

Nice to have

• 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, MCP, vector/RAG systems, OpenSearch.
• Experience with traditional ML tasks like training, deployment, and monitoring.
• Understanding of how LLMs work, their failure modes, and techniques like fine-tuning and model adaptation.
• Familiarity with regulatory frameworks such as SOC2, HIPAA.

Culture & Benefits

• Join a globally distributed team of ~100 engineers with a remote-first culture (for the broader team) but hybrid setup for this role.
• Value a "manager of one" mindset, where outcomes matter more than optics.
• High-autonomy, high-impact role within an organization combining the stability of an established company with the agility of a startup.

Hiring process

• 15-minute intro screen.
• 2x live coding in your preferred language.
• 1x systems design.
• 1x presentation of past work.
• Typically 2–4 weeks timeline.