Overview
On Site
USD 133,440.00 - 200,160.00 per year
Full Time
Skills
Customer Service
Global Operations
Customer Support
Decision-making
Collaboration
Workflow
Interfaces
Public Relations
Document Review
SAFE
Shipping
FOCUS
LangChain
Knowledge Base
Programming Languages
Python
TypeScript
Database
PostgreSQL
Real-time
Data Processing
Natural Language Processing
Knowledge Management
Energy
Artificial Intelligence
PPO
Payroll
Health Care
FSA
Finance
Apache Flex
Legal
Insurance
Job Details
Tesla's service software team powers intelligent systems across insurance claims systems, internal service tool, customer service, global operations, and innovative features like autonomous agents for sustainable energy solutions. At Tesla, you'll collaborate with some of the most brilliant engineers globally, engaging in cutting-edge AI development to create responsive agents that enhance user experiences across various modalities, including voice, text, and more.
The team is seeking a Software Engineer proficient in Python and AI technologies to join and work on building advanced AI agents for applications such as automated customer support, knowledge-driven decision-making, and intelligent workflows. The engineer will collaborate with skilled software engineers, data scientists, product managers, and end-users to turn visionary AI concepts into reality.
Responsibilities
Requirements
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:
The team is seeking a Software Engineer proficient in Python and AI technologies to join and work on building advanced AI agents for applications such as automated customer support, knowledge-driven decision-making, and intelligent workflows. The engineer will collaborate with skilled software engineers, data scientists, product managers, and end-users to turn visionary AI concepts into reality.
Responsibilities
- Design and build secure, intuitive, and efficient AI agents across multiple modalities (e.g., voice, text, or multi-modal interfaces), integrating them seamlessly into Tesla's ecosystem for tasks like real-time query handling and automated workflows
- Quickly grasp new concepts in AI, such as developing diverse agent interfaces, and apply your knowledge to integrate with knowledge bases and transactional systems using Retrieval-Augmented Generation (RAG) techniques
- Push your first pull request (PR) with your own code to Tesla's AI platform in your first week
- Form data contracts (e.g., using protobuf or APIs) with partner teams for the pragmatic implementation of scalable AI features, designed in concert with engineering, product, and design teams
- Own a portion of the AI agent codebase, focusing on quality, performance, and cross-modality integration; write documentation, review code from team members, and ensure robust handling of edge cases like variable input types or high-latency RAG queries
- Focus on keeping processes, code, and tooling as safe, fast, and reliable as our AI systems; elevate standards across teams to enhance work experiences while delivering value to users
- Use first principles thinking to continually optimize AI processes and practices, such as refining RAG pipelines for faster retrieval and better accuracy, ultimately providing superior experiences for customers and accelerating sustainable energy transitions
Requirements
- Having experience in shipping secure, scalable AI applications, with a focus on agent-based systems across modalities (e.g., voice integration using libraries like liveKit, various STT & TTS providers, text-based agents, or multi-modal setups)
- Sound knowledge and hands-on experience with Python for AI development, including building and integrating RAG systems (e.g., using LangChain, FAISS, or Pinecone for knowledge base retrieval)
- Excellent knowledge of modern programming languages and AI tools (Python, TypeScript, etc.), with experience in creating RAG pipelines, integrating with transactional systems (e.g., databases like PostgreSQL or APIs for real-time data), and handling diverse data processing needs
- Professional or personal experience building products in domains like AI agents, natural language processing (NLP), voice assistants, knowledge management systems, or multi-modal AI is a plus
- Passion for Tesla's mission of accelerating the world's transition to sustainable energy, with a drive to innovate in AI for real-world impact
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 + benefitsPay 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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.