Software Engineer, Digital Experience

As a Software Engineer specializing in AI agentic applications, you'll join a forward-thinking team dedicated to building intelligent systems that push the boundaries of AI technology.
You'll work on cutting-edge projects involving Retrieval-Augmented Generation (RAG), vector databases, and agentic frameworks like LangChain and LangGraph, using Python and Go as your primary tools.
This role offers the opportunity to design and deploy scalable, real-world solutions while collaborating with a dedicated team of engineers.

Responsibilities

• 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

Requirements

• 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

Compensation and Benefits
Benefits

Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:

• Aetna PPO and HSA plans > 2 medical plan options with $0 payroll deduction
• Family-building, fertility, adoption and surrogacy benefits
• Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution
• Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Aetna medical plan with HSA
• Healthcare and Dependent Care Flexible Spending Accounts (FSA)
• 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
• Company paid Basic Life, AD&D, short-term and long-term disability insurance
• Employee Assistance Program
• Sick and Vacation time (Flex time for salary positions), and Paid Holidays
• Back-up childcare and parenting support resources
• Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
• Weight Loss and Tobacco Cessation Programs
• Tesla Babies program
• Commuter benefits
• Employee discounts and perks program
Expected Compensation

$133,440 - $200,160/annual salary + cash and stock awards + benefits

Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.