Job Title: Agentic AI Engineer
Location: Santa Clara, CA
Duration: Long term Contract
Job Description:
We are seeking an innovative and highly skilled Agentic AI Engineer to design, develop, and deploy autonomous AI agents that can reason, plan, execute tasks, and collaborate across enterprise systems. The ideal candidate will have expertise in Large Language Models (LLMs), agent orchestration frameworks, Retrieval-Augmented Generation (RAG), workflow automation, and AI system integration. As an Agentic AI Engineer, you will build next-generation AI solutions that leverage autonomous agents to streamline business processes, enhance decision-making, and deliver intelligent user experiences.
Core Skills
- Advanced coding skills in Python, with a deep understanding of backend frameworks and distributed microservices architecture
- Deep understanding of agent interoperability and communication standards, including Model Context Protocol (MCP) and Agent-to-Agent (A2A) protocol design
- AI engineering proficiency with cloud-based foundation model platforms, specifically AWS Bedrock or enterprise equivalents
- Technical expertise in containerization, CI/CD pipelines, and cloud infrastructure
- Proven track record of shipping LLM-powered systems into live production environments
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Additional Qualifications
- Experience with multi-agent orchestration frameworks such as LangGraph, CrewAI, or AutoGen
- Familiarity with agent deployment platforms and infrastructure hosting like Bedrock AgentCore or equivalent production-grade hosting environments
- Experience with big data platforms and distributed systems for large-scale context processing