| POSITION | Python Developer |
| INTERVIEW TYPE | Local candidates will need to interview onsite at for client or at the Kforce San Ramon office |
| REQUIRED SKILLS | Look for candidates with: - Proven Python AI/RAG development experience
- Strong understanding of multi-modal AI systems (voice text knowledge retrieval)
- Practical exposure to LangChain FAISS Pinecone or similar frameworks
- Experience in building and scaling production-grade AI agents
- Bonus: Voice agent experience (liveKit STT/TTS) NLP or Tesla ecosystem familiarity
- Develop AI Agents for customer support decision-making and automated workflows
- Integrate RAG (Retrieval-Augmented Generation) systems into real-world applications
- Collaborate with engineers data scientists and product managers to deliver scalable AI features
Key Technical Skills Programming & AI Tools - Strong Python development for AI systems
- Experience with LangChain FAISS Pinecone or similar tools for RAG-based knowledge retrieval
- Knowledge of TypeScript and modern software frameworks
- Familiarity with STT/TTS (Speech-to-Text / Text-to-Speech) systems and liveKit for voice agent integration
AI & Machine Learning - Hands-on experience developing AI agents and multi-modal interfaces
- Background in NLP (Natural Language Processing) and knowledge-based systems
- Understanding of RAG pipelines model integration and data contracts (protobuf APIs)
Backend & Systems - Experience connecting AI systems to transactional databases (e.g. PostgreSQL) and APIs
- Ability to build secure scalable and performant backend infrastructure for AI features
Responsibilities - Design and implement AI agents integrated with Teslas platforms
- Develop multi-modal interfaces (voice text visual) for real-time workflows
- Push first production code within the first week
- Collaborate with partner teams to establish data contracts and API integrations
- Own and maintain a section of the AI agent codebase
- Continuously optimize RAG performance for speed and accuracy
- Write clean well-documented and testable code
Ideal Background - Prior experience shipping AI-powered products or tools
- Strong understanding of AI workflows pipelines and integrations
- Exposure to autonomous systems NLP or virtual assistant technologies
- Passion for Teslas mission and applying AI for sustainable energy innovation
Must-Have Skills Core Programming - Strong Python development experience (production-level)
- Solid understanding of software engineering best practices code quality version control testing CI/CD
AI / RAG Development - Hands-on experience building or integrating RAG (Retrieval-Augmented Generation) systems
- Tools: LangChain FAISS Pinecone or equivalent
- Ability to connect AI agents with knowledge bases and transactional systems (APIs databases)
AI Agent / Multi-Modal Systems - Proven experience developing AI agents or chatbots
- Knowledge of multi-modal interfaces (voice text etc.)
- Familiarity with STT/TTS technologies and voice frameworks (e.g. liveKit)
Backend & Integration - Experience with API development and integration
- Proficiency in data contracts (e.g. protobuf REST)
- Experience connecting to databases such as PostgreSQL or similar
Tesla |
POSITION Python Developer INTERVIEW TYPE Local candidates will need to interview onsite at for client or at the Kforce San Ramon office REQUIRED SKILLS Look for candidates with: Proven Python AI/RAG development experience Strong understanding of multi-modal AI systems (voice text...
| POSITION | Python Developer |
| INTERVIEW TYPE | Local candidates will need to interview onsite at for client or at the Kforce San Ramon office |
| REQUIRED SKILLS | Look for candidates with: - Proven Python AI/RAG development experience
- Strong understanding of multi-modal AI systems (voice text knowledge retrieval)
- Practical exposure to LangChain FAISS Pinecone or similar frameworks
- Experience in building and scaling production-grade AI agents
- Bonus: Voice agent experience (liveKit STT/TTS) NLP or Tesla ecosystem familiarity
- Develop AI Agents for customer support decision-making and automated workflows
- Integrate RAG (Retrieval-Augmented Generation) systems into real-world applications
- Collaborate with engineers data scientists and product managers to deliver scalable AI features
Key Technical Skills Programming & AI Tools - Strong Python development for AI systems
- Experience with LangChain FAISS Pinecone or similar tools for RAG-based knowledge retrieval
- Knowledge of TypeScript and modern software frameworks
- Familiarity with STT/TTS (Speech-to-Text / Text-to-Speech) systems and liveKit for voice agent integration
AI & Machine Learning - Hands-on experience developing AI agents and multi-modal interfaces
- Background in NLP (Natural Language Processing) and knowledge-based systems
- Understanding of RAG pipelines model integration and data contracts (protobuf APIs)
Backend & Systems - Experience connecting AI systems to transactional databases (e.g. PostgreSQL) and APIs
- Ability to build secure scalable and performant backend infrastructure for AI features
Responsibilities - Design and implement AI agents integrated with Teslas platforms
- Develop multi-modal interfaces (voice text visual) for real-time workflows
- Push first production code within the first week
- Collaborate with partner teams to establish data contracts and API integrations
- Own and maintain a section of the AI agent codebase
- Continuously optimize RAG performance for speed and accuracy
- Write clean well-documented and testable code
Ideal Background - Prior experience shipping AI-powered products or tools
- Strong understanding of AI workflows pipelines and integrations
- Exposure to autonomous systems NLP or virtual assistant technologies
- Passion for Teslas mission and applying AI for sustainable energy innovation
Must-Have Skills Core Programming - Strong Python development experience (production-level)
- Solid understanding of software engineering best practices code quality version control testing CI/CD
AI / RAG Development - Hands-on experience building or integrating RAG (Retrieval-Augmented Generation) systems
- Tools: LangChain FAISS Pinecone or equivalent
- Ability to connect AI agents with knowledge bases and transactional systems (APIs databases)
AI Agent / Multi-Modal Systems - Proven experience developing AI agents or chatbots
- Knowledge of multi-modal interfaces (voice text etc.)
- Familiarity with STT/TTS technologies and voice frameworks (e.g. liveKit)
Backend & Integration - Experience with API development and integration
- Proficiency in data contracts (e.g. protobuf REST)
- Experience connecting to databases such as PostgreSQL or similar
Tesla |
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Job Location:
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
