Job Summary:
Tesla is seeking a highly motivated Sr. Software Engineer with expertise in Full Stack Application development and hands-on experience with AI/ML technologies to join their small, high-performing team. The role involves building scalable software systems for an AI-Driven Customer, Employee, and Supplier CSAT platform, while mentoring engineers and contributing to system architecture and design.
Responsibilities:
• Deliver high-quality, maintainable code that addresses real-world contract processing challenges
• Develop workflows that leverage AI to improve operations
• Implement and integrate semantic search techniques and vector embeddings to enhance system capabilities, champion their usage to ease developer cognitive load, and embed them into workflows to improve operational efficiency as part of real business requirements
• Contribute to system architecture and design, especially where AI, automation and operational scale intersect
• Mentor engineers and uphold global standards of excellence in software craftsmanship
• Prioritize robust, production-critical systems with strong validation, monitoring, and support mechanisms
• Collaborate cross-functionally to ensure solutions align with system design, operational needs and end-user impact
• Stay up to date with the latest trends and technologies in the software engineering industry to identify new opportunities and drive innovation
Qualifications:
Required:
• Degree in Computer Science, Computer Engineering, or equivalent experience, with a minimum of 4 years of professional software engineering experience in full-stack application development
• Hands-on experience with large language models, AI agents, prompt engineering, semantic search, vector embeddings, and RAG pipelines using platforms such as OpenAI, HuggingFace, LangChain, or LlamaIndex
• Mastery of object-oriented programming (C#, Java, Python, or C++) with proven proficiency in building scalable RESTful and GraphQL APIs using frameworks such as .NET Core, Spring Boot, or Django
• Experience designing dynamic survey/feedback engines with branching logic, multi-channel distribution, and robust ETL pipelines integrating with enterprise systems (CRM, HRMS, ERP); proficient in both SQL and vector databases.
• Ability to build real-time dashboards, sentiment analysis pipelines, and AI-powered insight engines that surface CSAT trends, NPS scores, and actionable recommendations across customer, employee, and supplier segments
• Familiarity with front-end technologies including React, Angular, HTML, JavaScript, and CSS to support full-stack delivery and seamless survey module embedding across enterprise portals
• Experience architecting high-throughput, multi-tenant SaaS platforms with RBAC, ensuring platform reliability during peak feedback cycles while adhering to data privacy regulations (GDPR, CCPA) and anonymization best practices
• Proficiency in rigorous software development practices including version control, code reviews, CI/CD pipelines, monitoring, logging, and A/B testing frameworks to continuously optimize platform performance and survey response quality
• Excellent interpersonal and communication skills with a demonstrated ability to lead technical initiatives end-to-end — from concept and architecture through production deployment — within a collaborative, high-performing team environment
Preferred:
• Experience with Clickhouse and PeerDb will be plus
• Familiarity with UI languages is a plus
Company:
Tesla is an electric vehicle and clean energy company that provides electric cars, solar, and renewable energy solutions. Founded in 2003, the company is headquartered in Austin, USA, with a team of 10001+ employees. The company is currently Late Stage.