Sr. Software Engineer (AI, ML, Python, LLM, Langchain) - Locals Only - Job#3619664

You'll join a cross-functional engineering team at the exact moment the company transitions from building to operating. The AI work here spans the full stack of what modern applied AI looks like: autonomous decision-making agents, conversational interfaces for customer service, RAG pipelines that pull from live operational data, and large language model (LLM) deployments balanced for cost, latency, and accuracy in a real fleet environment.

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• Design and deploy AI agents and autonomous systems capable of multi-step task execution and real-time decision-making

• Build conversational AI solutions including chatbots and voice-based customer service systems integrated into fleet operations

• Develop and optimize RAG systems: vector databases, embedding strategies, retrieval pipelines, and prompt engineering

• Implement and tune machine learning models using PyTorch, balancing accuracy, latency, and cost for production use

• Evaluate and deploy LLMs from providers including OpenAI, Anthropic, Google, and Meta based on application-specific requirements

• Build AI-powered integrations across services using REST APIs, gRPC, or event-driven architectures (Kafka)

• Architect production-grade AI systems with reliability, observability, and scalability built in from the start

• Collaborate with product, data, and platform teams to translate commercial requirements into technical solutions

You've shipped AI agents or retrieval-augmented generation (RAG) systems into production and have the scars to prove it

• You think in systems: embeddings, vector stores, prompt chains, model evaluation, latency trade-offs

• You're energized by ambiguity. This company is scaling fast and the roadmap evolves quickly

• You want to be in the room where architecture decisions get made, not handed a spec to implement

• You're comfortable owning reliability and performance, not just handing off to DevOps

This role is NOT a good fit if you prefer a fully defined backlog, a slow enterprise release cycle, or want to stay in research without shipping.

???????????? ????????????????????????????????????????????, 6+ years of Python development with a focus on AI or machine learning applications

• Hands-on production experience with PyTorch: model training, fine-tuning, or deployment

• Direct experience building or operating RAG systems: vector databases, embeddings, retrieval strategies, and prompt engineering

• Familiarity with AI agent frameworks (LangChain, LlamaIndex, AutoGen, or similar)

• Working knowledge of transformer architecture and attention mechanisms

• Experience integrating AI capabilities into applications via REST APIs, gRPC, or Kafka

• Ability to work on-site in San Diego five days per week

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• Proficiency in Kotlin and full-stack development experience

• Cloud deployment experience on AWS, GCP, or Azure, especially microservices

• Containerization and orchestration with Docker and Kubernetes

• CI/CD pipeline experience and DevOps practices in an AI systems context

• Prior experience in autonomous vehicles, robotics, or mobility tech

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???????????????????????? ????????????????: $97 to $102 per hour

This is a contract role paying $97 to $102 per hour, on-site five days a week at Foster City CA through June 2026, with strong conversion potential as the company scales.

Pave Talent is recruiting on behalf of a commercial-stage autonomous mobility company making the leap from R&D into live service. The AI systems you build here won't be demos or internal tools. They'll power a fleet in the real world, interacting with real customers, in real time.