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
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