AI Software Engineer

Allied Telesis; San Jose (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

Allied Telesis in the Bay Area seeks an AI Software Engineer to develop AI-powered capabilities across our product portfolio, focusing on applied AI in networking infrastructure. You will join a small, forward-thinking research group and contribute to agentic workflows.

Ideal candidates have 2–3 years of software development experience, strong Python skills, and hands-on exposure to LLM APIs, vector stores, or RAG patterns. MCP experience is a plus but not required.

Qualifications

• Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• 2–3 years of software development experience.
• Strong Python fundamentals and familiarity with AI/ML tooling (LLM APIs, vector stores, RAG, agent frameworks).

Responsibilities

• Contribute to building and maintaining agentic AI workflows using LangGraph, designing and extending our MCP server library.
• Improve the RAG pipelines that power our knowledge-retrieval systems, mainly in Python.
• Collaborate with a small team where your ideas carry weight and are visible.

Skills

Python

LLM APIs

Vector stores

RAG pipelines

Agent frameworks

Networking concepts

Education

Bachelor's degree

Job description

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AI Software Engineer

Regular Full-Time Professional Bay Area San Jose, CA, US

8 days ago Requisition ID: 1118

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

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.