Job Specifications
You've spent years building AI systems that actually work in production. Not demos. Not prototypes. Systems where latency, reliability, and accuracy matter because real people depend on them.
Now there's an opportunity to do that work at one of the most consequential technology companies operating today.
Pave Talent is hiring on behalf of our client, a venture-backed autonomous vehicle company scaling from research to revenue-generating commercial service. Their AI/ML engineering team is expanding rapidly as they move from pilot programs to nationwide deployment
You'll collaborate directly with cross-functional engineering teams, translating complex business requirements into scalable AI solutions. The team is moving fast. The problems are hard. The stack is modern.
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• Design and develop AI agents and autonomous systems capable of multi-step task execution and decision-making
• Build conversational AI solutions including chatbots and voice-based customer service systems
• Develop AI-powered integrations across applications, platforms, and services
• Build and optimize retrieval-augmented generation (RAG) systems using vector databases, embeddings, and advanced retrieval strategies
• Implement and optimize machine learning models using PyTorch
• Evaluate and deploy large language models from OpenAI, Anthropic, Google, and Meta, balancing accuracy, latency, cost, and user experience
• Architect and maintain production-grade AI systems with a focus on scalability, reliability, and performance
This role is 100% onsite in San Diego, five days a week. There is no hybrid option and no remote track. If you're in San Diego or open to relocating, this is a serious opportunity at a company doing genuinely hard work.
:
• 6+ years of Python proficiency for AI/ML development (general Python web dev alone is not sufficient)
• 6+ years of experience with PyTorch or comparable ML frameworks
• Hands-on experience building or deploying LLMs, RAG systems, or AI agents in production
• Understanding of transformer neural network architecture and attention mechanisms
• Authorized to work in the US without sponsorship
:
• Experience with AI frameworks such as LangChain, LlamaIndex, or AutoGen
• Cloud platform experience (AWS, GCP, or Azure) for AI deployment
• Full-stack development experience including both backend and frontend
• Proficiency in Kotlin
• Containerization and orchestration with Docker and Kubernetes
• Experience with REST APIs, gRPC, or Kafka for service communication
• Familiarity with CI/CD pipelines and DevOps practices
: $97.00 to $102.00 per hour (ceiling is firm, no exceptions)
: Contract, full-time
: Monday through Friday, standard business hours
: 100% onsite, San Diego, CA (Rancho Bernardo area)
: Contract only, conversion to FTE is not available for this role
Apply via LinkedIn and we'll reach out to schedule a conversation. Confidential search; your application is fully private.
About the Company
Pave Talent partners with high-growth companies across the US to recruit exceptional people; we build executive leadership teams and the people needed to support them. In today's war for talent just having a database, posting on job boards, and having great sourcing tools is just not enough. The very best people are happily employed and probably working at your competitors; do you have the process and resources in place to land them? We do. Actually, that's all we do. We place candidates across a variety of functions includi...
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