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AI Software Engineer

Allied Telesis
Posted a month ago, valid for 3 days
Location

San Diego, CA 92132, US

Salary

$120,000 - $160,000 per year

Contract type

Full Time

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Sonic Summary

info
  • We are seeking a mid-level software developer to join our innovative research group focused on AI-powered capabilities for network devices.
  • The ideal candidate will have 2-3 years of software development experience, particularly with strong Python skills and familiarity with AI/ML tools.
  • Key responsibilities include building AI workflows, improving knowledge-retrieval systems, and contributing to a collaborative team environment.
  • A Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related field is required, along with a willingness to learn about networking infrastructure.
  • The salary for this position is competitive, reflecting the candidate's experience and expertise.

Job Summary:

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. Candidate must be located in 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.




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