AI Engineer – all seniorities (m/w/d)

Tesla Germany GmbH; Berlin; On-site; EUR 80,000 - 110,000; Full time

Benefits offered by this job

Medical center

Gym access

In-house barbershop

Bike leasing program

E-bike charging stations

Job summary

Tesla Germany GmbH is seeking a (Senior) SI Engineer to build AI-powered HR systems at Tesla. You will own the full stack, ship production-grade software, and collaborate with HR leadership and cross-functional teams to deliver measurable business impact in a fast-paced environment.

You’ll contribute to architectural decisions, ML/AI pipelines, and scalable deployments using modern web stacks, CI/CD, and containerization, while mentoring peers and driving improvements across the team.

Qualifications

• 3+ years of software engineering experience delivering production applications.
• Hands-on experience building AI-powered production systems with LLMs, RAG pipelines, and agentic frameworks.
• Strong full-stack skills in TypeScript, Node.js, React.
• Experience with CI/CD, version control, testing, and containerization.

Responsibilities

• Collaborate with HR leadership, business partners, and cross-functional teams to identify high-impact opportunities and turn them into software.
• Architect, develop, ship, and maintain AI-powered production systems for HR use cases.
• Drive AI/ML architecture decisions, model selection, and evaluation frameworks.
• Ensure robust software engineering practices: version control, testing, CI/CD, containerization.
• Mentor junior engineers and interns, improving AI/ML development across the team.

Skills

Software engineering

LLMs

Full-stack

TypeScript

Node.js

React

CI/CD

Docker

Kubernetes

PostgreSQL

GitHub Actions

English

German a plus

Tools

Docker

Kubernetes

PostgreSQL

GitHub Actions

Vercel AI SDK

Job description

What to Expect

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) SI Engineer to build SI-powered products that transform how HR works at Tesla. You'll architect and ship production systems that leverage LLMs and modern SI 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.

What You’ll Do

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

What You’ll Bring

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 plusNot 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 insuranceThese 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.

Tesla is an Equal Opportunity / Aff

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws.

Tesla is also committed to working with and providing reasonable accommodations to 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 for Tesla. We build it into our products and view it as an essential part of our business. To understand more about the data we collect and process as part of your application, please view our Tesla Talent Privacy Notice.