Description

Must Have
- Hands-on experience building agents with Google ADK (or comparable agent frameworks such as LangGraph, AutoGen, CrewAI, with strong ability to ramp on ADK)
- Strong Python development skills
- Experience with LLM APIs (Gemini, Claude, OpenAI, or similar) and prompt/tool design
- Understanding of agent architecture patterns: planning, tool orchestration, memory/state, multi-agent coordination
- Experience with REST APIs and backend service integration
- Familiarity with Google Cloud Platform (Vertex AI, Cloud Run, IAM, Secrets Manager)

Good to Have
- Experience with Model Context Protocol (MCP) or other agent-to-tool integration standards
- SQL proficiency, ideally with Snowflake (CTEs, Dynamic Tables, Views)
- Experience with Snowflake Cortex / Cortex Analyst
- Familiarity with Salesforce data models (Account IDs, object relationships)
- Experience with evaluation frameworks for LLM/agent output quality
- Background integrating agents into existing enterprise applications (React/Next.js, Node.js/NestJS)

Requirements
- 8+ years of software engineering experience, with recent focus on applied AI/agent systems
- Strong Python skills; TypeScript/JavaScript a plus
- Experience shipping AI features to production, not just prototypes
- Comfortable working independently in ambiguous, fast-evolving technical territory
- Clear communicator, able to explain agent behavior and architecture to both technical and non-technical stakeholders

Key Skills

Education

Any Graduate