Tesla Motors, Inc.
Staff AI Software Engineer, Communications Platform
Tesla Motors, Inc., Fremont, California, us, 94537
What to Expect
As a Software Engineer specializing in AI agentic applications, you'll join a forward-thinking team dedicated to building both customer-facing and internal-facing intelligent chatbots and workflows that push the boundaries of agentic technology.
You’ll work on cutting‑edge projects involving Retrieval‑Augmented Generation (RAG), vector databases, and agentic frameworks, 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. Your work will be visible in the Tesla mobile app and tesla.com, and will even be heard over the phone when customers call our voice agents.
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 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
Experience with streaming speech‑to‑text and text‑to‑speech technologies is a plus
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 $195,200 - $355,920 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.
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You’ll work on cutting‑edge projects involving Retrieval‑Augmented Generation (RAG), vector databases, and agentic frameworks, 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. Your work will be visible in the Tesla mobile app and tesla.com, and will even be heard over the phone when customers call our voice agents.
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 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
Experience with streaming speech‑to‑text and text‑to‑speech technologies is a plus
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 $195,200 - $355,920 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.
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