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ADP, Inc. in the San Francisco Bay Area seeks an AI Software Engineer to join a small, forward-thinking research group focused on AI-powered capabilities across our product portfolio.
You will build and maintain agentic AI workflows with LangGraph, extend MCP servers, and improve RAG pipelines in Python, collaborating closely with a tight-knit team.
Candidates should be located in the Bay Area or nearby San Diego, enjoy hands-on prototyping, and thrive in an environment where ideas carry weight.
If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.
Regular Full-Time Professional Bay Area San Jose, CA, US
Salary Range: $120,000.00 To $160,000.00 Annually
We are a small, forward-thinking research group within a network device manufacturer, responsible for shaping the vision and implementation of AI-powered capabilities across our product portfolio. We're looking for a mid-level software developer who is passionate about applied AI and wants to work on problems that sit at the intersection of intelligent systems and real-world networking infrastructure.
Candidates must be located in the Bay Area or San Diego, CA
Contribute to building and maintaining agentic AI workflows using LangGraph, designing and extending our growing library of MCP servers,
Improve the RAG pipelines that power our knowledge-retrieval systems — all primarily in Python.
Work closely with a tight-knit team where your ideas carry weight and your contributions are visible.
2-3 years of software development experience with strong Python fundamentals and has hands-on familiarity with at least some of the AI/ML tooling landscape — whether that's LLM APIs, vector stores, retrieval-augmented generation patterns, or agent frameworks.
Comfortable navigating ambiguity, can move fluidly between prototyping and production-quality code, and have enough curiosity about networking or enterprise infrastructure to appreciate the domain problems we're solving.
Experience with MCP (Model Context Protocol) is a plus but not required; enthusiasm for learning it is. We value clear thinkers who communicate well in a small-team environment over specialists with narrow credentials.