Principal AI Engineer – Agentic AI / Generative AI | Irvine, CA (Hybrid) | Contract to Hire | AS
Tasks
- Architect scalable AI platforms
- Build AI workflows for structured and unstructured data
- Build Retrieval-Augmented Generation solutions
- Build containerized AI applications with Docker and Kubernetes
- Build multi agent systems for enterprise applications
- Deploy AI applications on AWS
- Design AI microservices and API driven architectures
- Design and develop AI agents
- Design production grade generative AI applications
- Develop AI copilots for business workflow automation
- Develop CI/CD pipelines for model deployment
- Develop prompt engineering strategies
- Ensure AI system availability scalability security and observability
- Implement agent orchestration frameworks
- Implement memory and planning for autonomous decision making
- Integrate AI agents with CRM ERP ITSM and internal APIs
- Lead design and code reviews for AI initiatives
- Mentor engineers on AI architecture and best practices
- Monitor model performance drift latency and reliability
- Optimize fine tuned LLM applications
Perks/Benefits
Skills/Tech-stack
AI Agents | API | AWS | Agent systems | CI/CD | Docker | Fine Tuning | Kubernetes | LLM | Language Models | Large Language Models | MLOps | Microservices | Multi-Agent | Multi-Agent Systems | Observability | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | System design
Education
Roles
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