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 Perks:

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 chance 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.

📌 Senior Ai Engineer For Top Mnc Hyderabad (India)
🏢 LRR Technologies
📍 India