Role - Sr Gen AI Lead Location - San Jose, CA (Onsite) GenAI Engineers build the core intelligence layer—agents, workflows, prompts, and decision logic—that power enterprise AI applications. 60% on Python, 20% Agent & RAG Frameworks, Agentic AI – Python Coding Test- F2F interview (Santa Clara, CA -HCL Office) Technology Stack (Priority Order) 1. Languages: Python 2. Agent & RAG Frameworks: LangChain, LlamaIndex, DSPy 3. LLM APIs: Gemini, Bedrock, Vertex AI, Claude 4. Vector DBs: Pinecone, Weaviate (Can be any ) 5. Evaluation: LangSmith, custom eval pipelines Key Responsibilities · Build multi-step and multi-agent workflows · Implement RAG pipelines and document retrieval strategies · Design prompt templates, system instructions, and guardrails · Integrate agents with tools, APIs, and internal services · Optimize latency, accuracy, and token usage · Create automated LLM evaluation and regression tests Required Skills · Strong Python development skills · Hands-on experience with LLMs and embeddings · Solid understanding of prompt engineering and hallucination mitigation · Familiarity with cloud AI services -- You received this message because you are subscribed to the Google Groups "Latest C2C Requirements2" group. To unsubscribe from this group and stop receiving emails from it, send an email to latest-c2c-requirements2+unsubscribe@googlegroups.com. To view this discussion visit https://groups.google.com/d/msgid/latest-c2c-requirements2/CAK18y6Z-y0dbYwVSxEcT4Lqmv%2Bdh2F1KDSN3SWAY2hHEYOURbw%40mail.gmail.com. For more options, visit https://groups.google.com/d/optout.
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