We’re at the forefront of a once in a generational change in the broadband industry. Join us as we innovate, help our customers reach their potential, and connect underserved communities with unrivaled digital experiences.
Calix is where passionate innovators come together with a shared mission: to reimagine broadband experiences and empower communities like never before. As a true pioneer in broadband technology, we ignite transformation by equipping service providers of all sizes with an unrivaled platform, state-of-the-art cloud technologies, and AI-driven solutions that redefine what’s possible. Every tool and breakthrough we offer is designed to simplify operations and unlock extraordinary subscriber experiences through innovation.
We are looking for a passionate and skilled AI Agent Development Engineer to join our team to design 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.
This position is remote based anywhere in the US/Canada.
Key Responsibilities
- 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.
Required Skills & Qualifications:
- 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
- Experience adapting small language models (SLMs) to domain-specific tasks using LoRA, QLoRA, and other PEFT methods (adapters, prefix tuning, DoRA)
- Understanding of instruction tuning, supervised fine-tuning (SFT), and preference alignment (DPO, RLHF)
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
Why Join Us?
- Be part of a team driving AI innovation in telecom and cloud solutions.
- Opportunity to work on cutting-edge projects impacting millions of users.
- Collaborative culture with continuous learning and growth.
- Competitive Benefits and Vacation package.
#LI-Remote
The base pay range for this position varies based on the geographic location. More information about the pay range specific to candidate location and other factors will be shared during the recruitment process. Individual pay is determined based on location of residence and multiple factors, including job-related knowledge, skills and experience.
San Francisco Bay Area:
156,400 - 265,700 USD AnnualAll Other US Locations:
As a part of the total compensation package, this role may be eligible for a bonus. For information on our benefits click here.
Skills Required
- 10+ years of software development experience with 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 using Google ADK, LangChain, CrewAI, AutoGen, or similar frameworks
- Strong programming skills in Go, Rust, or Python
- Familiarity with LLM integration, prompt engineering, and multi-agent workflow orchestration
- Knowledge of vector databases, embeddings, and retrieval-augmented generation
- Understanding of generative AI, NLP, and reinforcement learning concepts
- Experience with LLM inference optimization
- Experience building language models using LoRA and QLoRA techniques
- Experience building custom AI agents for enterprise workflows
- Experience with agent lifecycle management and AI profiles for model selection and orchestration
- Exposure to multi-agent collaboration and autonomous decision-making systems
Calix Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Calix and has not been reviewed or approved by Calix.
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Flexible Benefits — Remote‑first policies include home‑internet reimbursement, home‑office furniture support, and work‑from‑anywhere flexibility. Feedback suggests these options make the package adaptable across locations and work styles.
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Healthcare Strength — Coverage spans medical, dental, and vision for employees and dependents alongside EAP and virtual therapy/coaching. Wellbeing elements like lifestyle allowances, recharge days, and no‑internal‑meeting days further bolster health support.
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Leave & Time Off Breadth — Paid vacation, wellness days, holidays, bereavement and jury‑duty leave offer broad time‑off access. Parental/bonding and caregiver leave, plus adoption assistance and medical‑travel coverage, extend support through major life events.
Calix Insights
What We Do
Innovative communications service providers rely on Calix platforms to help them master and monetize the complex infrastructure between their subscribers and the cloud. Calix is the leading global provider of the cloud and software platforms, systems, and services required to deliver the unified access network and smart premises of tomorrow. Our platforms and services help our customers build next generation networks by embracing a DevOps operating model, optimize the subscriber experience by leveraging big data analytics, and turn the complexity of the smart home and business into new revenue streams.
