- Experience
- 8–15 yrs
- Salary
- INR 2,750,000 – INR 3,500,000 / year
- Openings
- 1
- Posted
- 34 minutes ago
- Work mode
- In office
- Education
- B.Tech / B.E.
- Eligibility
- Candidates holding a Bachelor of Technology (B.Tech) or Bachelor of Engineering (B.E.) degree in any specialization are eligible to apply.
- Resume
- Required to apply
Where you'll work
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Job description
Company Overview
LRR Technologies is collaborating with Carrier Corporation, a global leader in HVAC, refrigeration, fire, security, and building automation solutions. Carrier operates worldwide with over 58,000 employees and annual sales exceeding $20 billion. The role is based at Carrier's R&D center in Hyderabad.
Role Summary
The AI Lead Engineer will spearhead the design, construction, and management of scalable, production-grade Generative AI applications tailored for complex enterprise challenges. This position emphasizes the development of LLM-driven solutions, advanced retrieval-augmented generation (RAG) pipelines, and orchestrated multi-agent systems deployed on leading cloud AI platforms.
Key Responsibilities
- Architect and develop enterprise-level Generative AI applications using large language models such as GPT, Claude, and Llama.
- Construct and fine-tune reliable RAG pipelines, encompassing document chunking, embeddings, retrieval optimization, query rewriting, and prompt engineering.
- Create single and multi-agent frameworks with tools like LangChain, LangGraph, and LlamaIndex to enable agentic workflows.
- Design intelligent agent systems featuring effective tool invocation, memory solutions, and reasoning strategies.
- Develop scalable AI microservices leveraging Python with FastAPI or Flask, integrating them seamlessly with enterprise-grade APIs.
- Establish evaluation frameworks using metrics including RAGAS and DeepEval aligned with business objectives.
- Implement agent memory management utilizing libraries such as Mem0 and LangMem.
- Conduct fine-tuning and assessment of language models for domain-specific applications.
- Manage deployment and operations of AI solutions across Azure, AWS, and Google Cloud Platform services.
- Incorporate monitoring, logging, and telemetry into AI systems to ensure transparency and performance tracking.
- Guarantee performance scalability, security, stability, and cost optimization for all AI solutions in production.
- Possess deep expertise in RAG architecture, hybrid retrieval techniques, and context engineering.
- Translate business needs into comprehensive technical designs and implementation strategies.
- Drive innovation by continuously exploring new LLMs, orchestration frameworks, and cloud AI services, including Copilot Studio.
Required Skills and Experience
- Expert proficiency in Python programming producing high-quality, performance-optimized, and well-tested code.
- Hands-on experience with Generative AI frameworks such as LangChain, LangGraph, and LlamaIndex for agent orchestration.
- Practical integration experience with LLM APIs and SDKs including OpenAI, AnthropicClaude, Azure OpenAI, AWS Bedrock, and Vertex AI.
- Extensive knowledge of RAG workflows involving document ingestion, embedding strategies, search and query enhancement techniques.
- Familiarity with vector database technologies such as OpenSearch, Pinecone, Qdrant, Weaviate, pgvector, or FAISS in production environments.
- Experience deploying AI solutions on Azure platforms (Azure OpenAI, AI Studio, Copilot Studio, Cognitive Search).
- Competence with AWS AI services including Bedrock, SageMaker, AWS nova, and AWS Transform.
- Experience with Google Cloud Platform’s Vertex AI, Agent space, and Agent Build environments.
Preferred Qualifications
- Master's degree in Computer Science, AI/ML, Data Science, or a related discipline.
- Experience working with multi-agent systems, including Agent-to-Agent (A2A) communications and MCP frameworks.
- Knowledge of LLM operations and observability tools like LangSmith, Opik, and Azure AI Foundry.
- Skill in integrating graph databases and knowledge graphs to improve AI retrieval and reasoning processes.
Compensation and Joining Details
The annual salary range offered is INR 2,750,000 to 3,500,000, potentially higher based on candidate's background and expertise. Selected candidates will be required to join within four weeks from offer acceptance.
Additional Information
This opportunity allows candidates to develop niche, forward-looking AI skills while working with a prestigious multinational organization that prioritizes employee well-being and growth.
Minimum education
Bachelor's Degree