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Specialized LLM/RAG skills, Hyderabad metro, and mid-level opening create moderate applicant competition.
Core LLM/ML skills transfer across industries, though HVAC preference increases domain specificity.
Explicit 6+ years and mandatory LLM, vector DB, cloud, and API stack increase shortlisting strictness.
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Design, develop, and deploy AI/ML and Generative AI solutions focused on enterprise applications such as intelligent automation, document intelligence, knowledge management, and conversational AI.
Implement applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) architectures, vector databases, and agent-based frameworks.
Collaborate with business and technical teams to translate requirements into scalable AI solutions and support their deployment, optimization, and monitoring in production.
6+ years of experience in software development, AI/ML, or related fields.
Bachelor's or Master's degree in Computer Science, AI, Data Science, Mechanical Engineering, or related discipline.
Strong proficiency in Python, Machine Learning, Natural Language Processing (NLP), and Generative AI technologies.
Hands-on experience with OpenAI, Google Gemini, LangChain, LangGraph, LlamaIndex, vector databases (e.g., FAISS, Pinecone, ChromaDB), FastAPI, RESTful APIs, SQL, and cloud platforms like Azure, AWS, or GCP.
Senior-level AI/ML engineer comfortable leading AI-driven enterprise-scale projects involving LLMs, RAG, and agent orchestration.
Experience or interest in applying AI solutions within engineering, manufacturing, HVAC, or industrial domains is a plus.
Capable of collaborating across global teams and translating complex business needs into practical AI applications while mentoring junior developers.