Staff Software Engineer – AI/ML

🕒 April 29

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Calix

1001 - 5000 employees

Founded 2000

📡 Telecommunications

☁️ SaaS

🏢 Enterprise

💰 $50M Venture Round on 2009-08

Telecommunications • SaaS • Enterprise

Calix is a comprehensive solutions provider that focuses on enabling broadband service providers (BSPs) to simplify, innovate, and grow their businesses. Through its advanced broadband platform, Calix offers technologies like 10G-PON, 5G, Wi-Fi 7, and more to improve network operations, reduce downtime, and enhance the subscriber experience. The company provides managed services such as SmartLife and SmartHome, which help subscribers operate, secure, and enhance their connected lifestyles. Calix serves diverse provider types including telcos, cable operators, and municipal utilities, helping them deliver critical broadband connectivity and transform community access to digital services. With a focus on cloud technology, analytics, and transformation guidance, Calix empowers service providers to thrive in the digital age.

📋 Description

• Develop and deploy agents capable of perception, reasoning, and autonomous action • Integrate agents with existing external systems using REST APIs, microservices, and cloud platforms • Implement best practices for performance, scalability, and security in multi-agent environments • Work with product managers and data scientists to align agent capabilities with business needs • Explore emerging technologies in Generative AI, LLM orchestration, and multi-agent frameworks

🎯 Requirements

• 10+ years in software development with exposure to AI/ML projects • Bachelor’s or Master’s in Computer Science, AI/ML, or related field • Hands-on experience in developing AI agents using frameworks like Google ADK, LangChain, CrewAI, AutoGen, or similar • Strong programming skills in Go, Rust, or Python (experience with PL/SQL or Java is a plus) • Familiarity with LLM integration, prompt engineering, and orchestration of multi-agent workflows • Knowledge of vector databases, embeddings, and retrieval-augmented generation (RAG) • Understanding of Generative AI, NLP, and reinforcement learning concepts • Preferred: Experience building custom AI agents for enterprise workflows (e.g., service request triage, summarization, proactive support) • Working with agent lifecycle management and AI profiles for model selection and orchestration • Exposure to multi-agent collaboration and autonomous decision-making systems

🏖️ Benefits

• Competitive Benefits and Vacation package

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