Allied Telesis
1001 - 5000 employees
Founded 1987
🔒 Cybersecurity
🏢 Enterprise
Networking • Cybersecurity • Enterprise
Allied Telesis is a leading networking solutions provider that specializes in building secure, reliable, and high-performing networks for organizations worldwide. With over 35 years of experience, they offer a comprehensive range of products, including switches, wireless solutions, and network management tools, tailored to meet the needs of various industries such as education, healthcare, and government. Allied Telesis aims to help businesses enhance their network capabilities while providing exceptional service and support.
AI Software Engineer
Job not on LinkedIn
🔥 0 minutes ago
🏄 California – Remote
💵 $120k - $160k / year
⏰ Full Time
🟢 Junior
🟡 Mid-level
🧑💻 Full-stack Engineer
🦅 H1B Visa Sponsor
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Allied Telesis
1001 - 5000 employees
Founded 1987
🔒 Cybersecurity
🏢 Enterprise
Networking • Cybersecurity • Enterprise
Allied Telesis is a leading networking solutions provider that specializes in building secure, reliable, and high-performing networks for organizations worldwide. With over 35 years of experience, they offer a comprehensive range of products, including switches, wireless solutions, and network management tools, tailored to meet the needs of various industries such as education, healthcare, and government. Allied Telesis aims to help businesses enhance their network capabilities while providing exceptional service and support.
📋 Description
• Contribute to building and maintaining agentic AI workflows using LangGraph. • Design and extend our growing library of MCP servers. • Improve the RAG pipelines that power our knowledge-retrieval systems, primarily in Python. • Work closely with a tight-knit team where your ideas carry weight and your contributions are visible.
🎯 Requirements
• 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. • Hands-on familiarity with at least some of the AI/ML tooling landscape. • Comfortable navigating ambiguity and can transition between prototyping and production-quality code. • Curiosity about networking or enterprise infrastructure. • Experience with Model Context Protocol (MCP) is a plus but not required; enthusiasm for learning it is required.
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