AI/ML Engineer For Top MNC

LRR Technologies is currently hiring talented people to work with Carrier Corporation. Carrier Corporation (NYSE: CARR) is a global provider of innovative heating, ventilating, and air conditioning (HVAC), refrigeration, fire, security, and building automation technologies boasting annual sales of over $20 billion, with 58,000 employees spread across 160+ countries. For its R&D center in Hyderabad, Carrier is looking for a talented AI Lead Engineer.

Experience Required:

8 - 15 years in AI/ML development, with 3+ years specialized in Generative AI and LLM applications.

Role Overview:

The AI Lead Engineer will design, build, and operate production-grade Generative AI solutions for complex enterprise scenarios. The role focuses on scalable LLM-powered applications, robust RAG pipelines, and multi-agent systems with MCP deployed across major cloud AI platforms.

Key Responsibilities:

Technical Leadership & Development:

• Design and implement enterprise-grade GenAI solutions using LLMs (GPT, Claude, Llama and similar families).
• Build and optimize production-ready RAG pipelines including chunking, embeddings, retrieval tuning, query rewriting, and prompt optimization.
• Develop single- and multi-agent systems using LangChain, LangGraph, LlamaIndex and similar orchestration frameworks.
• Design agentic systems with robust tool calling, memory management, and reasoning patterns.
• Build scalable Python + FastAPI/Flask or MCP microservices for AI-powered applications, including integration with enterprise APIs.
• Implement model evaluation frameworks using RAGAS, DeepEval, or custom metrics aligned to business KPIs.
• Implement agent-based memory management using Mem0, LangMem or similar libraries.
• Fine-tune and evaluate LLMs for specific domains and business use cases.
• Deploy and manage AI solutions on Azure (Azure OpenAI, Azure AI Studio, Copilot Studio), AWS (Bedrock, SageMaker, Comprehend, Lex), and GCP (Vertex AI, Generative AI Studio).
• Implement observability, logging, and telemetry for AI systems to ensure traceability and performance monitoring.
• Ensure scalability, reliability, security, and cost-efficiency of production AI applications.
• Deep understanding of RAG architectures, hybrid retrieval, and context engineering patterns.
• Translate business requirements into robust technical designs, architectures, and implementation roadmaps.
• Drive innovation by evaluating new LLMs, orchestration frameworks, and cloud AI capabilities (including Copilot Studio for copilots and workflow automation).

Required Skills & Experience:

Core Technical

Programming:

GenAI Frameworks:

LangGraph, LlamaIndex, agentic orchestration libraries.

LLM Integration:

Claude, Azure OpenAI, AWS Bedrock, and Vertex AI models via APIs/SDKs.

RAG & Search:

Vector Databases:

Azure

AWS

GCP

Preferred Qualifications:

• Masters degree in Computer Science, AI/ML, Data Science, or related field.
• Experience with multi-agent systems, Agent-to-Agent (A2A) communication, and MCP-based ecosystems.
• Familiarity with LLMOps / observability platforms such as LangSmith, Opik, Azure AI Foundry
• Experience integrating graph databases and knowledge graphs to enhance retrieval and reasoning.

Perks and Benefits:

The position will pay quite well Rs. 27.5-35 lakh per annum is the band, and the final amount may be even higher depending on your experience and expertise.

If made an offer, you will need to join in 4 weeks.

This is a lifetime opportunity for people looking to specialize in highly coveted niche futuristic skills and to work in a top multinational company with excellent employee-first initiatives. We look forward to your application.