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# Principal Engineer - Calix Cloud

- **Company:** Calix
- **Location:** San Jose, CA, United States
- **Experience:** Expert
- **Salary:** $182,900.0 - $310,500.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Cloud Computing, Computer Programming, Python (Programming Language), Natural Language Processing, Software Engineering, PL-SQL, Reinforcement Learning, QLoRA, Enterprise Software Applications, LangChain, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, Agentic-AI, Build Management, Information Technology, CrewAI, AutoGen, Machine Learning Operations, Virtual Agents, Restful APIs, Model Inference, Microservices
- **Published:** October 13, 2026
- **Apply:** https://calix.wd1.myworkdayjobs.com/External/job/San-Jose/Principal-Engineer---Calix-Cloud_R-11958

## About the Role

We are looking for a passionate and skilled AI Agent Development Engineer to join our team and build intelligent, autonomous agents that transform workflows and customer experiences. This is a hands-on role requiring strong technical expertise in AI agent frameworks and integration with enterprise systems., * 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.
 * LLM inference optimization
 * Build SLMS with LORA,QLORA techniques

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

## Description

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