What to Expect
Start date: September 2026
Location: Tilburg
Duration: 6 months
Time type: Full-time (40 hours a week)
NOTE: YOU MUST BE ENROLLED IN EDUCATION DURING THE ENTIRE INTERNSHIP TO BE CONSIDERED.
The AI / Software Intern is responsible for helping move the GOBI team's data and application stack — which today runs the dashboards, web applications, and data pipelines behind Tesla's remanufacturing operations in Lathrop, Tilburg, and Buffalo — toward a modern agentic data platform. Through this role we will get some help maintaining our data pipelines and increasing their reliability, as well as integrating both existing and new dashboards and visualizations with AI agents to extend them and generate automatic insights and reports.
The intern will build a semantic / metrics catalog over the existing cache schemas, develop an agent loop on inference endpoints, wrap operational APIs as MCP tools so agents can both read and act, integrate the result into the existing frontend, and put evals and observability in place before any agent reaches production. They will work on the GOBI ETL, visualizations, backend and frontend, and collaborate with other existing stakeholders and teams.
What You'll Do-
Build a unified semantic / metrics catalog over the existing cache schemas by walking current dashboards, ETLs and ELTs
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Evolve the team's text-to-SQL design into an agent loop with tool calling, multi-step planning, self-correcting SQL and citations back to source tables. Wrap operational APIs as MCP tools so agents can both read and act
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Integrate the resulting agent and data products into the existing React + Vite + Tesla Design System frontend
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Build a fixed eval set and unit tests, and wire up traces / accuracy / latency dashboards before anything is shipped to production
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Contribute to the underlying FastAPI / SQLAlchemy services, Airflow DAGs and CI/CD pipelines as needed to support the above
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Document the semantic layer, agent tools and evals so the rest of the GOBI team can extend them
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Currently enrolled in Computer Science, AI Engineering, ML Engineering, Data Engineering or a similar field
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Strong Python and SQL — able to read a non-trivial FastAPI service or a long ETL script and refactor across them
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Hands-on experience with at least one modern data warehouse / query engine (Snowflake, Databricks, BigQuery, Trino/Presto, Vertica)
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Has built something with LLMs beyond a chat wrapper — RAG, function/tool calling, an agent loop, or an MCP server
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Working knowledge of CI/CD, Git, Docker and Kubernetes
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Good written and spoken English, with the ability to communicate technical trade-offs clearly
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Nice to have: dbt / Cube / Malloy, LangGraph / OpenAI Agents SDK / MCP, React + Vite, LLM evals & observability (Langfuse, Phoenix, Braintrust), or a time-series data analysis background
Tesla is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. 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.
