GenAI & LLM Architect | Prompt Engineer (Enterprise AI)
Premium GCC Setup: Hiring GenAI, LLM Architects & Prompt Engineers Role #1: LLM Architect Total Required Experience: 12 to 16 Years - MUST HAVE Relevant Experience Required: 2 to 4 Yrs (LLM) - MUST HAVE Key Skills: Needs battle scars in deploying enterprise-grade ML before LLMs existed. Role #2: GenAI Ethicist Total Required Experience: 10 to 15 Years - MUST HAVE Relevant Experience Required: 2 to 3 Yrs (GenAI) - MUST HAVE Key Skills: Requires deep background in data privacy, legal compliance, or tech governance. Role #3: RAG Engineer Total Required Experience: 610 Years - MUST HAVE Relevant Experience Required: 13 Yrs (RAG) - MUST HAVE Key Skills: Sweet spot for hands‑on coders who understand vector DBs and data pipelines. Role #4: AI Agent Developer Total Required Experience: 69 Years - MUST HAVE Relevant Experience Required: 12 Yrs (Agents) - MUST HAVE Key Skills: Need strong Python/API skills to string together LangChain/AutoGPT logic. Role #5: Prompt Engineer Total Required Experience: 4–7 Years - MUST HAVE Relevant Experience Required: 1–2 Yrs (Prompting) - MUST HAVE Key Skills: Often pivots from QA, NLP, or product analysis; needs high domain context. Overall Key Skills
- Generative AI
- LLM
- Prompt Engineering
- LangChain
- AutoGPT
- PyTorch
- Transformer Models
- Model Fine‑Tuning
- RAG
- Vector Databases
- Semantic Search
- Hugging Face
- NLP
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