Description

Key Responsibilities

• Build and deploy AI agents using Google ADK or comparable frameworks (LangGraph, AutoGen, CrewAI)
• Integrate LLM APIs (Gemini, Claude, OpenAI) with custom prompt and tool design
• Architect agent workflows including planning, tool orchestration, memory/state management, and multi-agent coordination
• Develop and maintain REST APIs and backend service integrations
• Work with Google Cloud Platform services including Vertex AI, Cloud Run, IAM, and Secrets Manager

Required Skills

• Hands-on experience with Google ADK or similar agent frameworks (LangGraph, AutoGen, CrewAI)
• Strong Python development skills
• Experience with LLM APIs and prompt/tool design
• Deep understanding of agent architecture patterns
• REST APIs and backend service integration experience
• Familiarity with Google Cloud Platform (Vertex AI, Cloud Run, IAM, Secrets Manager)

Preferred Skills

• Model Context Protocol (MCP) or agent-to-tool integration standards
• SQL proficiency with Snowflake (CTEs, Dynamic Tables, Views, Cortex Analyst)
• Salesforce data model familiarity (Account IDs, object relationships)
• LLM/agent evaluation frameworks
• Enterprise application integration experience (React/Next.js, Node.js/NestJS)

Key Skills

Education

Any Gradute