Staff/Principal Agentic AI Engineer

Calix

. Design and build AI agents capable of perception, reasoning, and autonomous action .

Posted 11/12/2026full-timeRemote • United States, CanadaLead💰 $136,000 - $231,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and building AI agents with a strong foundation in AI/ML principles, programming in Go, Rust, or Python, and integrating with external systems using REST APIs and cloud platforms. Proficient in multi-agent frameworks, LLM orchestration, and implementing best practices for performance and security.

Highest-signal resume keywords

AI Agent DevelopmentREST API IntegrationGenerative AIProgramming in Go, Rust, or PythonLLM Integration and Orchestration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI/ML ProjectsGoogle ADKLangChainCrewAIAutoGenVector DatabasesEmbeddingsRetrieval-Augmented Generation (RAG)LoRAQLoRA

Soft Skills

CollaborationProblem-Solving

Tools & Technologies

MicroservicesCloud PlatformsPL/SQLJava

Certifications & Qualifications

Bachelor’s in Computer ScienceMaster’s in AI/ML

Industry Keywords

Multi-Agent EnvironmentsNLPReinforcement LearningInstruction TuningSupervised Fine-Tuning (SFT)

Tech Stack

Tools & technologies

CloudJavaMicroservicesPythonRustSQLGo

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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