Stichworte
Zusammenfassung
Tesla Germany GmbH in Berlin sucht einen (Senior) AI Engineer, der KI-gestützte HR-Produkte von Grund auf entwickelt und in Produktion bringt. In dieser Rolle verantworten Sie die Architektur und den Betrieb von LLM-basierten Systemen, die tausende Mitarbeitende im Alltag unterstützen. Sie arbeiten eng mit HR-Führungskräften und Querschnittsteams zusammen, um hochrelevante Use Cases in funktionierende Software zu übersetzen. Erwartet wird mindestens dreijährige Erfahrung im Software-Engineering sowie praktische Expertise mit RAG-Pipelines, agentischen Frameworks und modernen Web-Stacks. Das attraktive Vergütungspaket umfasst neben einem wettbewerbsfähigen Gehalt Tesla-Aktien, 30 Urlaubstage und diverse Benefits wie kostenloses E-Laden.
Benefits und Qualifikationen
- 30 Tage Urlaub
- Betriebliche Altersvorsorge
- Kostenloses E-Auto-Laden
- Tesla-Aktien oder Boni
- Produkt-Rabatte
- 3+ Jahre Software-Engineering
- Praktische Erfahrung mit LLMs und RAG-Pipelines
- Vollstack-Stack (TypeScript,Node.js,React)
- Erfahrung mit Docker,Kubernetes,PostgreSQL
Stellenausschreibung
Tesla is hiring a (Senior) AI Engineer to architect and ship AI-powered products that redefine how HR operates across the company. You will own the full stack – from LLM-driven production systems to measurable business impact – used by thousands of employees daily.
What You'll Do
- Partner directly with HR leadership and cross-functional teams to identify high-impact opportunities and deliver working software
- Design, build, and maintain AI-powered production systems that solve real HR challenges with measurable bottom-line results
- Drive technical decisions on AI/ML architecture, model selection, and evaluation frameworks
- Apply rigorous engineering practices: version control, testing, CI/CD pipelines, and containerized deployments
- Mentor junior engineers and interns while elevating AI/ML development standards across the team
What You'll Bring
- 3+ years of software engineering experience with a proven track record of shipping production applications
- Hands-on expertise building production LLM systems – including RAG pipelines and agentic frameworks. Familiarity with the Vercel AI SDK is a strong plus
- Strong full-stack skills across TypeScript, Node.js, and React, with the agility to adopt new technologies quickly
- Solid understanding of AI evaluation and monitoring – you know how to measure performance and iterate effectively
- Sharp business intuition: you prioritize ruthlessly, ship solutions that move the needle, and bridge the gap between technical and non-technical stakeholders
- Experience with GitHub Actions, Docker, Kubernetes, and PostgreSQL – ideally including CI/CD and containerized deployments from scratch
- Self-directed, high-agency mindset: you drive projects forward and own outcomes end-to-end
- Excellent English; German is a significant advantage
- Commitment to sustainability principles in daily work, aligned with Tesla's EHS&S Policy and EMAS requirements
What We Offer
Join our state-of-the-art Gigafactory in Berlin and solve the world's most interesting problems alongside the best and brightest minds. Tesla's compensation package includes a competitive salary plus Tesla shares or bonuses. Typical benefits: 30 vacation days, occupational pension, employee life and disability insurances, free EV charging, product discounts, and various transportation perks.
Tesla is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants receive consideration without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity, or any other protected factor.
Tesla is committed to providing reasonable accommodations for individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.
Privacy is a top priority at Tesla. We build it into our products and view it as an essential part of our business. To learn more about the data we collect and process during your application, please review our Tesla Talent Privacy Notice.