Staff/Principal Agentic AI Engineer
About The Position
Calix is seeking a hands-on AI Agent Development Engineer to design and build intelligent, autonomous agents that transform workflows and customer experiences. The role involves developing agents with perception, reasoning, and autonomous action capabilities, and integrating them with enterprise systems. The position is remote anywhere in the US or Canada. The engineer will work with product managers and data scientists to align agent capabilities with business needs, optimize performance, scalability, and security in multi-agent environments, and explore emerging generative AI, LLM orchestration, and multi-agent technologies. The work supports Calix’s cloud-first, AI-powered platform and its mission to help communication service providers simplify operations, innovate, and grow.
Requirements
- 10+ years of software development experience, including exposure to AI/ML projects.
- Bachelor’s or Master’s degree in Computer Science, AI/ML, or a related field.
- Hands-on experience developing AI agents with frameworks such as 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.
- Experience with LLM inference optimization.
- Experience adapting small language models to domain-specific tasks using LoRA, QLoRA, or other PEFT methods, including adapters, prefix tuning, or DoRA.
- Understanding of instruction tuning, supervised fine-tuning (SFT), and preference alignment methods such as DPO and RLHF.
Nice To Haves
- Experience with PL/SQL or Java.
- Experience building custom AI agents for enterprise workflows, such as service request triage, summarization, or proactive support.
- Experience with agent lifecycle management and AI profiles for model selection and orchestration.
- Exposure to multi-agent collaboration and autonomous decision-making systems.
Responsibilities
- Design and deploy 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.
Benefits
- Competitive benefits package.
- Vacation package.
- The role may be eligible for a bonus.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
