About the Role

Allied Telesis is seeking a mid-level AI Software Engineer to join a forward-thinking research group within a network device manufacturer. The role focuses on building agentic AI workflows, designing MCP servers, and improving RAG pipelines to enhance intelligent capabilities across their networking product portfolio.

Skills

Python AI/ML Tooling LLM APIs Vector Stores Retrieval-Augmented Generation Agent Frameworks LangGraph MCP Servers Software Development Networking Infrastructure Enterprise Infrastructure Prototyping

Full job details

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

Essential Duties and Responsibilities:

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.

Education / Training:

Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.

Experience, Skills & Abilities:

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.