Python Developer with LLM/ GEN AI

Role: Python Developer with LLM/ GEN AI Pay Rate: $50.00 to $55.00 Per Hour Location: Irvine, CA - Hybrid (3 days onsite) Duration: 6 months ROLE SUMMARY Design and build enterprise-grade AI agents and interoperable multi-agent workflows using modern agentic AI frameworks. Translate defined business use cases into agents that can reason, use governed enterprise knowledge, maintain context, invoke approved... KEY RESPONSIBILITIES Design and build enterprise-grade AI agents and interoperable multi-agent workflows using modern agentic AI frameworks Translate defined business use cases into agents that can reason, use governed enterprise knowledge, maintain context, invoke approved tools and APIs, and collaborate with other agents through Agent-to-Agent (A2A) patterns Contribute to rapid pilots and production-ready implementations using reusable platform capabilities Design and develop enterprise AI agents based on defined business workflows and acceptance criteria Build agent workflows using Google ADK and Vertex AI / Agent Engine Use Gemini models for reasoning, planning, summarization and structured response generation Develop prompts, prompt templates and structured outputs; support prompt testing and evaluation MANDATORY SKILLS & EXPERIENCE Strong Python development skills and Hands-on experience with LLM or Generative AI applications Practical knowledge of agentic patterns: reasoning, orchestration, tool calling and workflow execution Experience with Google ADK, Vertex AI, Agent Engine and Gemini, or comparable agent frameworks with ability to transition to this stack Understanding of Agent-to-Agent (A2A) architecture and multi-agent patterns, including agent discovery, capability exchange, task lifecycle, asynchronous interactions and secure context handoff Understanding of RAG, embeddings, vector search, chunking, grounding and retrieval evaluation Understanding of context and memory management for conversational and multi-agent applications Experience consuming REST APIs and integrating external services; familiarity with MCP for agent-to-tool connectivity Working knowledge of Eligible to workP, Git/GitHub, Docker or containers, CI/CD and automated testing