AI Software Engineer

Allied Telesis; San Jose (CA); On-site; USD 120,000 - 190,000; Full time

Job summary

Talentify seeks a mid-level software developer in the Bay Area or San Diego to advance AI-powered capabilities for networking infrastructure. You will build agentic AI workflows with LangGraph, extend MCP servers, and enhance RAG-based knowledge retrieval using Python.

You should have 2–3 years of Python development and exposure to AI/ML tooling (LLMs, vector stores, agent frameworks). Collaborative, production-focused work awaits in a small team.

Qualifications

• 2-3 years of software development experience with strong Python fundamentals.
• Hands-on familiarity with AI/ML tooling: LLM APIs, vector stores, RAG patterns, or agent frameworks.
• Able to prototype quickly and move toward production-quality code.
• Interest in networking or enterprise infrastructure domains; MCP familiarity is a plus.

Responsibilities

• Contribute to building and maintaining agentic AI workflows using LangGraph, designing and extending MCP servers.
• Improve the RAG pipelines powering our knowledge-retrieval systems, primarily in Python.
• Collaborate in a small team where ideas are valued and visible.

Skills

Python

AI/ML tooling

LLM APIs

Vector stores

Agent frameworks

Education

Bachelors degree in Computer Science or related field

Tools

MCP (Model Context Protocol)

Job description

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:

• Bachelors 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.