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Principal AI Engineer – Agentic AI Generative AI | Irvine, CA (Hybrid) | Contract to Hire | AS
Job Location:
Job Location:
Irvine, CA - USA
Monthly Salary:
Not provided by the employer
Monthly Salary:
Posted:
8 August 2026 (30+ days ago)
Posted:
Application Deadline:
5 November 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Job Title: Principal AI Engineer Agentic AI / Generative AI
Location: Irvine CA (Onsite Preferred / Hybrid)
Employment Type: Contract to Hire
About the Role
We are seeking a Principal AI Engineer to lead the design and development of next-generation Agentic AI solutions for enterprise applications. This role requires a highly experienced AI engineer with deep expertise in Large Language Models (LLMs) AI Agents Multi-Agent Systems Retrieval-Augmented Generation (RAG) and cloud-native AI architectures.
You will drive the architecture development deployment and optimization of intelligent AI agents that automate complex business workflows power enterprise copilots and integrate seamlessly with enterprise platforms.
Key Responsibilities
AI Agent Development
Design develop and deploy AI Agents and Multi-Agent Systems for enterprise applications.
Build intelligent AI copilots capable of reasoning planning and executing complex business workflows.
Develop agent orchestration frameworks using modern AI technologies.
Implement memory planning tool usage and autonomous decision-making capabilities.
Generative AI Engineering
Design production-grade Generative AI applications using Large Language Models.
Build Retrieval-Augmented Generation (RAG) solutions using enterprise data.
Develop prompt engineering strategies and context management pipelines.
Fine-tune and optimize LLM-powered applications for enterprise use cases.
AI Architecture
Architect scalable AI platforms supporting multiple enterprise applications.
Design AI microservices and API-driven architectures.
Build AI workflows integrating structured and unstructured enterprise data.
Ensure high availability scalability security and observability of AI systems.
Cloud & MLOps
Deploy AI applications on AWS using cloud-native services.
Build containerized AI applications using Docker and Kubernetes.
Develop CI/CD pipelines for AI model deployment.
Monitor model performance drift latency and reliability.
Enterprise Integration
Integrate AI Agents with enterprise applications including CRM ERP ITSM and internal APIs.
Build AI-powered workflow automation solutions.
Collaborate with product engineering and business teams to deliver enterprise AI capabilities.
Technical Leadership
Provide technical leadership across AI initiatives.
Mentor engineers on AI architecture and best practices.
Conduct design reviews code reviews and architecture reviews.
Evaluate emerging AI technologies and recommend adoption strategies.
Required Qualifications
Bachelors or masters degree in computer science Artificial Intelligence Machine Learning or related field.
12 years of software engineering experience.
5 years building AI/ML applications.
Strong hands-on experience developing AI Agents and Agentic AI solutions.
Experience building production-grade Generative AI applications.
Strong Python programming expertise.
Experience deploying AI applications in AWS.
Excellent architecture and system design skills.
Location: Irvine CA (Onsite Preferred / Hybrid)
Employment Type: Contract to Hire
About the Role
We are seeking a Principal AI Engineer to lead the design and development of next-generation Agentic AI solutions for enterprise applications. This role requires a highly experienced AI engineer with deep expertise in Large Language Models (LLMs) AI Agents Multi-Agent Systems Retrieval-Augmented Generation (RAG) and cloud-native AI architectures.
You will drive the architecture development deployment and optimization of intelligent AI agents that automate complex business workflows power enterprise copilots and integrate seamlessly with enterprise platforms.
Key Responsibilities
AI Agent Development
Design develop and deploy AI Agents and Multi-Agent Systems for enterprise applications.
Build intelligent AI copilots capable of reasoning planning and executing complex business workflows.
Develop agent orchestration frameworks using modern AI technologies.
Implement memory planning tool usage and autonomous decision-making capabilities.
Generative AI Engineering
Design production-grade Generative AI applications using Large Language Models.
Build Retrieval-Augmented Generation (RAG) solutions using enterprise data.
Develop prompt engineering strategies and context management pipelines.
Fine-tune and optimize LLM-powered applications for enterprise use cases.
AI Architecture
Architect scalable AI platforms supporting multiple enterprise applications.
Design AI microservices and API-driven architectures.
Build AI workflows integrating structured and unstructured enterprise data.
Ensure high availability scalability security and observability of AI systems.
Cloud & MLOps
Deploy AI applications on AWS using cloud-native services.
Build containerized AI applications using Docker and Kubernetes.
Develop CI/CD pipelines for AI model deployment.
Monitor model performance drift latency and reliability.
Enterprise Integration
Integrate AI Agents with enterprise applications including CRM ERP ITSM and internal APIs.
Build AI-powered workflow automation solutions.
Collaborate with product engineering and business teams to deliver enterprise AI capabilities.
Technical Leadership
Provide technical leadership across AI initiatives.
Mentor engineers on AI architecture and best practices.
Conduct design reviews code reviews and architecture reviews.
Evaluate emerging AI technologies and recommend adoption strategies.
Required Qualifications
Bachelors or masters degree in computer science Artificial Intelligence Machine Learning or related field.
12 years of software engineering experience.
5 years building AI/ML applications.
Strong hands-on experience developing AI Agents and Agentic AI solutions.
Experience building production-grade Generative AI applications.
Strong Python programming expertise.
Experience deploying AI applications in AWS.
Excellent architecture and system design skills.
Required Experience:
Staff IC
