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Senior AI Engineer For Top MNC

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Summary

Senior AI engineer (7+ yrs) hired via LRR Technologies to work with client Kidde Global Solutions (fire & life safety MNC) in Hyderabad: building production GenAI, RAG, and AI-agent workflow automation with Python, LangChain/LangGraph, OpenAI/Azure LLMs, and Microsoft 365 integrations. Pays ₹30–37.5 lakh per annum.

LRR Technologies is currently hiring talented professionals to work with Kidde Global Solutions. Kidde Global Solutions is a world leader in fire and life safety solutions tailored for complex commercial

facilities and homes.


Role:


  • Design and develop production-ready Generative AI, RAG, AI Agents, workflow automation, and enterprise AI solutions.
  • uild end-to-end AI workflows using Python, LLMs, APIs, enterprise tools, and automation frameworks.

Responsibilities:


  • Develop AI Agents, RAG systems, and LLM-powered applications.
  • Build AI workflows and business process automation.
  • Implement tool/function calling, agent orchestration, memory, and human-in-the-loop workflows.
  • Develop enterprise connectors and integrations.
  • Integrate Outlook, Teams, SharePoint, Jira, Git, Slack, databases, and REST APIs.
  • Build Python APIs and backend services.
  • Implement AI testing, evaluation, monitoring, and observability.
  • Work with architects and engineering teams to deliver scalable production solutions.

Required Skills:


  • Programming: Python, FastAPI, REST APIs, Async Programming, OOP, Git, Unit Testing.
  • AI/LLM: Generative AI, LLMs, Prompt Engineering, Function Calling, Tool Calling.
  • RAG: Embeddings, Vector Databases, Semantic/Hybrid Search, Reranking, Document Processing.
  • Agents: AI Agents, Agentic Workflows, Planning, Reasoning, Memory, Tool Execution.
  • Frameworks: LangGraph, LangChain, LlamaIndex, Semantic Kernel, AutoGen, CrewAI.
  • LLMs: OpenAI, Azure OpenAI, Anthropic, Gemini, Open-Source LLMs.
  • Integration: Microsoft Graph, Microsoft 365, Outlook, Teams, SharePoint, Jira, Git, Slack, REST APIs,
  • OAuth2, Webhooks, MCP.
  • Infrastructure: Docker, CI/CD, Cloud/Private AI, Ollama, llama.cpp, vLLM.

Experience: 7+ years software engineering with hands-on production AI/GenAI experience.


Education: Bachelors/Masters in Computer Science, Engineering, AI, Data Science, IT, or equivalent.


Ideal Candidate:


Hands-on engineer capable of building Data RAG LLM Agent Tool Workflow Automation solutions.


Perks and Benefits:


The position will pay quite well - Rs. 30 - 37.5 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 the opportunity of a lifetime 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.

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