Overview

LRR Technologies is currently hiring talented people to work with Carrier Corporation.

Responsibilities

• 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.
• 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).

Qualifications

• 8 - 15 years in AI/ML development, with 3+ years specialized in Generative AI and LLM applications.
• Core Technical
• Programming: Expert-level Python with production-quality code, testing, and performance tuning.
• GenAI Frameworks: Strong hands-on experience with LangChain,
• LangGraph, LlamaIndex, agentic orchestration libraries.
• LLM Integration: Practical experience integrating OpenAI, Anthropic
• Claude, Azure OpenAI, AWS Bedrock, and Vertex AI models via APIs/SDKs.
• RAG & Search: Deep experience designing and operating RAG workflows (document ingestion, embeddings, retrieval optimization, query rewriting).
• Vector Databases: Production experience with at least two of OpenSearch, Pinecone, Qdrant, Weaviate, pgvector, FAISS.
• Azure: Azure OpenAI, Azure AI Studio, Copilot Studio, Azure Cognitive Search.
• AWS: Bedrock, SageMaker endpoints, AWS nova, AWS Transform etc.
• GCP: Vertex AI (models, endpoints), Agent space, Agent Build
• Familiarity with LLMOps / observability platforms such as LangSmith, Opik, Azure AI Foundry
• 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.

Nice to have

• Masters degree in Computer Science, AI/ML, Data Science, or related field.