Job Description
Key Skills
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- Agentic AI: Multi-Agent Systems, Agent Orchestration, LLM-based application architecture
- Frameworks: Hands-on experience with LangGraph, LangChain, Semantic Kernel, AutoGen, CrewAI or similar
- GenAI: RAG, Prompt/Context Engineering, Tool Calling, Function Calling, Agent Memory
- Integration: REST APIs, MCP, event-driven integration, enterprise systems
- AI Engineering: Vector Databases, Knowledge Graphs, evaluation, observability, guardrails
- Cloud: Experience building GenAI/Agentic solutions on GCP, Azure or AWS
- Google ADK: Prior experience not required. Candidate should have strong fundamentals and ability to quickly learn and build using Google ADK.
- Strong Python/Software engineering and hands-on architecture experience
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