model-context-protocol-mcp jobs in San Diego

Mid-level AI Developer responsible for designing, building, and deploying AI-powered applications and tools using Python, TypeScript/JavaScript, and modern frameworks like LangChain and LangGraph. The role involves developing RAG pipelines, agentic workflows, MCP server integrations, and full-stack solutions (React front-end, back-end APIs, cloud services) for government and private-sector clients.…See more Candidates must have 3–5 years of software development experience with at least 1–2 years in AI/ML application development, strong proficiency in Python and JavaScript/TypeScript, hands-on experience with Claude, OpenAI, or similar APIs, and demonstrated ability to use AI-assisted coding tools.

This is a junior-level, onsite rotational program at Axos Bank's Consumer IT AI Team for someone with a CS or related degree and Python/JavaScript experience. You'll work on production AI agents from day one under senior mentorship, learning prompt engineering, building integration code connecting AI systems to platforms like GitHub and Azure DevOps, constructing Model Context Protocol (MCP) servers, and maintaining AI plugins and documentation.…See more You'll write unit tests, participate in code reviews and CI/CD workflows, and contribute to internal documentation while building SDLC fluency through sprint ceremonies.

Mid-level full-stack software engineer responsible for developing, deploying, and troubleshooting distributed applications across application software, operating systems, networking, virtualization, and hardware interfaces. The role requires 5+ years of professional software development experience with proficiency in Python, modern front-end frameworks, RESTful APIs, Linux administration, containerization (Podman/OCI), Git, and configuration automation (Ansible).…See more Strong emphasis on independent ownership of features from requirements through implementation and testing, with preferred experience in LLMs, generative AI, agentic workflows, and AI-tool integration for engineering tasks.

Lead the design, development, and operation of Qualcomm's enterprise AI platform, supporting agentic AI, model lifecycle management, and multi-cloud ML/inference infrastructure. Own core platform services including identity/RBAC, secrets, service meshes, observability, vector stores, and model gateways across on-prem GPU clusters and managed cloud services.…See more Manage a ~10-engineer global team (platform, SRE, MLOps/LLMOps), drive incident response and continuous improvement, and partner with product and security teams on AI governance and high-impact use cases.