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Senior Software Engineer – Machine Learning, AI

Brandenburg, Germany (On-site)

Senior Software Engineer – Machine Learning, AI

2 Days ago • 4-8 Years • Artificial Intelligence • Undisclosed

About the job

15 skills required for this role

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ci-cd

flask

fastapi

python

scalability

cross-functional

react

tensorflow

algorithms

django

kubernetes

front-end

docker

pytorch

foundation

Job Description

Tesla seeks talented Software Engineers specializing in ML/AI to build Retrieval-Augmented Generation (RAG) chatbots using open-source LLMs (like LLaMA, Falcon, GPT-J) and vector databases. Responsibilities include designing, developing, and maintaining these chatbots; building NLP pipelines for text retrieval, embeddings, and dialogue management; architecting scalable backends using Python (FastAPI/Flask); collaborating with cross-functional teams; experimenting with and fine-tuning LLMs; and implementing AI agents capable of autonomous tasks. The role requires expertise in Python, ML frameworks (PyTorch/TensorFlow), LLM-based applications, NLP, and vector databases. Experience with backend development, containerization (Docker/Kubernetes), and CI/CD is essential.

Must have:

Expertise in Python and ML frameworks (PyTorch/TensorFlow)
Experience building and deploying LLM-based applications (RAG chatbots)
Strong NLP knowledge, including information retrieval and semantic search
Backend development experience (FastAPI/Flask)
Knowledge of containerization (Docker/Kubernetes) and CI/CD

Good to have:

Familiarity with front-end technologies (React)
Experience with LLM orchestration tools (LangChain/LlamaIndex)
Knowledge of vector databases (Pinecone, Milvus)

Perks:

Competitive salary and Tesla shares or bonuses
Pension program
30 vacation days
Flexible work arrangements
Corporate benefits
Employee insurances
Relocation and commuting support

What to Expect

Tesla is accelerating the world's transition to sustainable energy. We continuously develop revolutionary strategies and products within the shortest time and successfully launch them on a large scale. This is only possible through extraordinary speed, innovation, and efficiency.

Gigafactory Berlin forms the perfect basis for rolling out Tesla's incredible success story in Europe. The most important pillar for this is our employees. Their passion, motivation and engagement ensure that we consistently achieve our goals.

The Role

We are seeking talented Software Engineers - ML, AI to join our dynamic team, focusing on building Retrieval-Augmented Generation (RAG) chatbots powered by open-source Large Language Models (LLMs) and evolve into creating advanced AI agents. This role is ideal for engineers passionate about natural language processing (NLP), machine learning, and backend development. You will have the opportunity to develop cutting-edge AI solutions and contribute to the next generation of intelligent chatbot systems.

What You’ll Do

Design, develop, and maintain RAG-based chatbots by leveraging open-source large language models (LLMs) like LLaMA, Falcon, and GPT-J, integrating them with external knowledge bases (e.g., vector databases such as Pinecone, FAISS)
Build and optimize NLP pipelines for tasks such as text retrieval, embeddings, dialogue management, and intent recognition
Architect scalable and robust backends using Python frameworks like FastAPI or Flask, integrating APIs, external tools, and databases to support chatbot and AI system functionality
Collaborate with cross-functional teams, including product and design, to deliver user-friendly, intuitive solutions tailored to business and customer needs
Experiment with and fine-tune LLMs, improve chatbot and agent performance using prompt engineering, and ensure scalable, low-latency deployments in production
Explore, design, and implement AI agents capable of performing autonomous tasks, including reasoning, planning, decision-making, and integrating with external tools and APIs for multi-step task execution
Continuously research and stay updated on advancements in LLMs, NLP, and AI, applying cutting-edge techniques to enhance chatbot and AI agent capabilities
Ensure best practices for software development, including CI/CD pipelines, code quality, scalability, and proper documentation, while participating in code reviews and team improvement efforts

What You’ll Bring

Expertise in Python with hands-on experience in machine learning frameworks like PyTorch or TensorFlow, along with a strong foundation in ML concepts, particularly statistics and optimization
Proven experience in building and deploying LLM-based applications, especially RAG chatbots, with deep knowledge of information retrieval, semantic search, and ranking algorithms
Degree in Computer Science, Machine Learning, Engineering, or a related field, or equivalent experience
Solid understanding of NLP concepts, conversational AI systems, and vector databases (e.g., Pinecone, Milvus)
Familiarity with tools for LLM orchestration, such as LangChain or LlamaIndex
Experience with backend development using frameworks like FastAPI, Flask, or Django
Knowledge of containerization (Docker, Kubernetes), and deploying scalable ML systems
Excellent problem-solving and debugging skills, with a focus on optimization and scalability
Familiarity with front-end development technologies (e.g., React) and frameworks is highly desirable
Understanding of CI/CD practices, software development methodologies, and Agile principles
Excellent collaborative skills to work effectively with cross-functional teams
Proficiency in working in a high-impact, responsive, and collaborative team environment
Smart but humble, with a bias for action

What we offer

You will be working in our state-of-the-art Gigafactory, where you’ll solve the world's most interesting problems with the best and brightest people who share a passion to change the world. Tesla’s compensation package includes competitive salary and Tesla shares or bonuses. Typical benefits that are offered are a pension program, 30 vacation days, flexible work arrangements, corporate benefits, employee insurances, relocation, and commuting support.

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