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# (Senior) AI Engineer - HR Applications

- **Company:** Tesla
- **Location:** Berlin, Germany
- **Experience:** Expert
- **Salary:** €60,500.0 - €70,500.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Continuous Integration, Github, PostgreSQL, Node.Js, Next.js, Software Engineering, TypeScript, ReactJS, Large Language Models, Model Validation, HR Software, Containerization, Kubernetes, Software Version Control, Docker
- **Published:** June 18, 2026
- **Apply:** https://www.xing.com/jobs/berlin-senior-ai-engineer-hr-applications-155303146

## About the Role

* 3+ years of software engineering experience with proven ability to deliver production applications both independently and in teams

Deep hands-on experience building production systems with LLMs - you've designed, deployed, and iterated on real AI-powered products independently, involving RAG pipelines and agentic frameworks. Experience with the Vercel AI SDK is a big plus

Strong full-stack engineering skills across modern web stacks (TypeScript, Node.js, React) with the ability to rapidly pick up new technologies

Solid understanding of evaluation and monitoring for AI systems - you know how to measure whether your AI is actually working and how to improve it

Strong business intuition: you identify what's worth building, prioritize ruthlessly, and ship solutions that move the needle. You're comfortable translating between technical and non-technical stakeholders and thrive at the intersection of engineering and business strategy

Experience with GitHub Actions, Docker, Kubernetes, and PostgreSQL. Ideally, you've set up CI/CD and containerized deployments from scratch

Self-directed and high-agency - you drive projects forward, own outcomes end-to-end, and don't wait for direction

Excellent English, German is a big plus

## Description

* Collaborate directly with HR leadership, business partners, and cross-functional teams to identify high-impact opportunities and turn them into working software

Architect, develop, ship, and maintain AI-powered production systems that solve real HR problems with measurable bottom-line impact

Drive technical decisions on AI/ML architecture, model selection, and evaluation frameworks

Apply rigorous software engineering practices including version control, testing, CI/CD, and containerization

Mentor junior engineers and interns, and drive improvements for AI/ML development across the team


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