6+ Yrs Exp | Bachelor’s / Master’s in CS, AI, Data Science, or Mechanical Engineering | AI/ML &

- Generative AI Engineering | Enterprise AI Solutions &
- Smart HVAC Technology | Hyderabad, Telangana, India | In office | Full Time

Architect Enterprise-Scale Generative AI Solutions, RAG Systems, AI Agents, and LLM Applications for Global Engineering &

- HVAC Operations

Join Carrier Global Corporation as a Lead AI/ML Engineer in Hyderabad, India (Raheja Mindspace, Cyberabad). Bringing 6+ years of hands-on software development and AI/ML experience, this senior technical role architects and deploys enterprise-grade Generative AI, Retrieval-Augmented Generation (RAG) frameworks, and AI agent architectures. You will drive digital transformation by building document intelligence platforms, intelligent search engines, and automated knowledge systems tailored to complex HVAC engineering data, product structures, and PLM workflows.

Key Responsibilities:

- Architect, develop, and deploy enterprise Generative AI applications leveraging LLMs, RAG architectures, and multi-agent workflows.

- Build document intelligence engines, technical information extraction tools, semantic search systems, and conversational virtual assistants.





- Integrate custom AI models and LLM pipelines with cloud infrastructure, vector databases, enterprise APIs, and product lifecycle management (PLM) systems.

- Collaborate with global R&D;, mechanical engineering teams, and business stakeholders to transform complex technical data (BOMs, schematics, engineering specs) into AI-driven automation.

- Monitor, optimize, and maintain production AI workflows, ensuring high inference speed, accurate model evaluation, and robust system security.

- Provide technical mentorship to junior developers and establish enterprise standards for Generative AI deployment.

Tools/Technologies Used:

- Generative AI &
- LLM Frameworks: OpenAI APIs, Google Gemini, LangChain, LangGraph, LlamaIndex, AI Agents &
- Orchestration

- Vector Databases &

- Search: FAISS, Pinecone, ChromaDB, Semantic Search, Text Embeddings

- Programming &

- Backend: Python, FastAPI, RESTful APIs, SQL Databases

- Cloud &

- MLOps: Microsoft Azure, AWS, Google Cloud Platform (GCP), Model Monitoring &
- Evaluation

- Engineering Domains (Preferred): HVAC Systems, Compressors, Product Lifecycle Management (PLM), Bills of Materials (BOM) Data Analysis

📌 Lead AI/ML Engineer (Hyderabad)
🏢 RiseWithVishwas
📍 Hyderabad