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Staff AI Software Engineer, Communications Platform

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Staff AI Software Engineer, Communications Platform

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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

Benefits
Compensation and 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.

, Tesla

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Motor Vehicle Manufacturing, Renewable Energy Semiconductor Manufacturing, and Utilities

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