AI Engineer – all seniorities (m/w/d) - Gigafactory Berlin - Brandenburg

Description

Tesla was founded in 2003 with the goal of accelerating the transition to sustainable energy and protecting the planet Earth. Through solar energy, batteries, and electric vehicles, we are building a world of amazing abundance.

At Gigafactory Berlin-Brandenburg, we manufacture the Model Y, and starting in 2027, we’ll produce everything from battery cells to electric vehicles. This is unique in Europe. Our international team consists of over 12,000 employees from 130 countries. We hire talent at all skill levels - prior experience in the automotive industry is not required. Would you like to help write the next chapter in Tesla’s success story and work at one of Germany’s most modern workplaces? Then this is the right place for you!

We're looking for a (Senior) AI Engineer to build AI-powered products that transform how HR works at Tesla. You'll architect and ship production systems that leverage LLMs and modern AI capabilities to solve real business problems - used by thousands of employees across the company. You'll own the full stack, move fast, and drive measurable impact.

Responsibilities

• 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

Requirements

• 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

Not only do we offer you an attractive compensation package, but also access to a wide range of perks and benefits. For example:

• Our own medical center, a gym and an in-house barbershop
• E-bike charging stations in front of the factory, more than 500 free charging stations for electric cars, a bike leasing program, free use of the nextbike bike-sharing fleet, as well as numerous free shuttle bus routes to Grünheide and the surrounding areas
• You’ll receive subsidized canteen meals, a free S-membership at the Urban Sports Club (discount from M+) and you can sign up for many language courses
• We also offer all employees a wide range of insurance options, such as a company pension plan, as well as discounts on private insurance and legal protection insurance

These and many other benefits await you. Join Tesla Giga and help us build a world of amazing abundance.

Candidates are expected to uphold and actively promote sustainability principles in their daily work, operating in line with Tesla Global Environmental, Health, Safety & Security (EHS&S) Policy and EMAS requirements, fostering a culture of continuous environmental improvement.