Staff/Principal Agentic AI Engineer

Job not on LinkedIn

🔥 7 minutes ago

💵 $136k - $231k / year

⏰ Full Time

🔴 Lead

🤖 AI Engineer

Where this job comes from

Posted on Calix's careers page, not through a job board

First seen by Remote Rocketship 7 minutes ago

Logo of Calix

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

• Design and build AI agents capable of perception, reasoning, and autonomous action • Integrate agents with external systems using REST APIs, microservices, and cloud platforms • Implement best practices for performance, scalability, and security in multi-agent environments • Collaborate 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 developing AI agents using frameworks like Google ADK, LangChain, CrewAI, AutoGen, or similar • Strong programming skills in Go, Rust, or Python • 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 • LLM inference optimization • Experience adapting small language models (SLMs) using LoRA, QLoRA, and other PEFT methods, including adapters, prefix tuning, and DoRA • Understanding of instruction tuning, supervised fine-tuning (SFT), and preference alignment (DPO, RLHF) • Experience with PL/SQL or Java is a plus • Preferred: experience building custom AI agents for enterprise workflows • Preferred: experience with agent lifecycle management and AI profiles for model selection and orchestration • Preferred: exposure to multi-agent collaboration and autonomous decision-making systems

🏖️ Benefits

• Competitive Benefits and Vacation package • Potential eligibility for a bonus as part of total compensation • Continuous learning and growth opportunities

Apply Now

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