Key Facts

Remote From:

California (USA)

Category: Software Engineer

Full time

Mid-level (2-5 years)

English

Hard Skills

Python (Programming Language) Artificial Intelligence Agent-Based Model

Other Skills

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Communication
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Teamwork
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Problem Solving

Roles & Responsibilities

Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related field
2-3 years of software development experience with strong Python fundamentals
Familiarity with AI/ML tooling landscape

Requirements:

Contribute to building and maintaining agentic AI workflows using LangGraph
Design and extend the growing library of MCP servers
Improve the RAG pipelines that power knowledge-retrieval systems

Allied Telesis

About Allied Telesis

Our world is increasing in complexity. Organizations are changing at an ever-increasing rate. Businesses face an uphill battle to adapt to change and to stay ahead of the competition. At the same time, our cities are increasingly becoming more populated; and with this growth, issues such as demand on resources and public safety become a key focus for government and civic leaders. Today, more than any other time, you need a technology partner that has both the vision and the capability to take your network communications to where you need them to be. Allied Telesis has been supplying network communications solutions for over 30 years. Today we are engaged in some of the most advanced and innovative next-generation network research, focusing efforts on development and production of more intelligent, autonomously controlled and managed systems that will be required to meet the demands of a world of Internet Things and smarter everything. The capabilities and performance of next-generation networks will be defined by the software that configures, secures, manages and automates the infrastructure. Our R&D investments are putting us on the main stage in the exploding era of IoT. As cloud computing uses servers, applications and other resources linked via a network, the infrastructure of that network and the ability to autonomously discover, manage, troubleshoot and resolve network issues will become fundamental to network operations. We also take advantage of our position as a network specialist to provide software solutions needed for network administration. These range from administration and monitoring of network equipment to authentication of connected devices and network status analysis. Our world-class global professional services organization offers unsurpassed support together with network design recommendations, project consultation, staging services and post-installation support.

Founded: 2018

Company size: 1001 - 5000

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Job description

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.

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.

Ready to apply?

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