Overview
GenAI Engineers build the core intelligence layer—agents, workflows, prompts, and decision logic—that power enterprise AI applications. Technology Stack (Priority Order)
Languages:
Python Agent & RAG Frameworks:
LangChain, Langgraph LLM APIs:
Gemini, Claude Vector DBs:
Pinecone, Weaviate 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
#J-18808-Ljbffr
GenAI Engineers build the core intelligence layer—agents, workflows, prompts, and decision logic—that power enterprise AI applications. Technology Stack (Priority Order)
Languages:
Python Agent & RAG Frameworks:
LangChain, Langgraph LLM APIs:
Gemini, Claude Vector DBs:
Pinecone, Weaviate 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
#J-18808-Ljbffr