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Global brand, metro Hyderabad location, and mid-level LLM skills create medium candidate competition.
LLM and RAG skills are transferable, but HVAC/engineering domain preference increases sensitivity to medium.
Explicit 6+ years plus mandatory LLM, RAG, vector DB, API and cloud stack makes screening strict.
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Design, develop, and deploy AI/ML and Generative AI solutions leveraging LLMs, RAG architectures, vector databases, and agent frameworks for enterprise business applications.
Create AI-powered applications including document processing, information extraction, knowledge management, recommendation systems, virtual assistants, and conversational AI.
Collaborate with stakeholders to translate business needs into scalable AI solutions and support production deployment, optimization, and continuous improvement.
6+ years of experience in software development, AI/ML, or related technical disciplines.
Bachelor's or Master's degree in Computer Science, AI, Data Science, Mechanical Engineering, or related field.
Proficiency in Python, Machine Learning, NLP, Generative AI, and experience with platforms like OpenAI, Google Gemini, LangChain, LangGraph, LlamaIndex, vector databases (FAISS, Pinecone, ChromaDB).
Experience with FastAPI, RESTful APIs, SQL, and cloud platforms such as Azure, AWS, or GCP.
Experience building enterprise-scale AI applications focusing on intelligent automation and knowledge management, indicating strong operational ownership.
Skilled in integrating advanced AI technologies including LLMs, RAG architectures, embeddings, semantic search, and AI agent orchestration.
Familiarity with HVAC, refrigeration, or industrial engineering domains and handling engineering data or product lifecycle management systems preferred but not mandatory.