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Tesla Software Engineer Digital Experience 
United States, California, Fremont 
184569112

10.04.2025
What You’ll Do
  • Develop and implement AI agentic applications using Python and Go, leveraging modern agentic frameworks
  • Build and optimize Retrieval-Augmented Generation (RAG) systems for enhanced AI performance
  • Design and manage vector databases (e.g., pgvector, FAISS) for efficient data handling
  • Utilize agentic frameworks like LangChain and LangGraph to create robust workflows for language models and agent coordination
  • Conduct evaluation of models to assess performance, accuracy, and reliability, iterating as needed
  • Perform prompt engineering and tuning to optimize large language model outputs for specific use cases
  • Write clean, maintainable, and well-documented code in Python and Go, adhering to industry standards
  • Collaborate with team members to define requirements and deliver production-ready solutions
  • Debug, troubleshoot, and enhance AI systems for scalability and reliability
  • Stay ahead of the curve by exploring advancements in AI and agentic technologies
What You’ll Bring
  • Degree in Computer Science, Engineering, or a related field or equivalent experience
  • Strong proficiency in Python and Go, with proven experience in agentic frameworks
  • Hands-on experience with Retrieval-Augmented Generation (RAG) and vector database technologies
  • Knowledge of Agentic frameworks like LangChain and LangGraph for orchestrating AI workflows
  • Solid grasp of machine learning and natural language processing (NLP) principles
  • Strong understanding of data modeling and data architecture
  • Familiarity with data quality checks and validation processes
  • Exceptional problem-solving skills and meticulous attention to detail
  • Excellent communication and collaboration skills