Headline

Agentic AI Engineer | LangGraph · MCP · RAG | Building Production AI Agents

About

As an AI Engineer specializing in Agentic AI Engineering, I design, build, and productionize autonomous multi-agent systems and state-managed LLM workflows. I bridge the gap between conceptual AI capabilities and secure, scalable enterprise backend infrastructure. While standard GenAI applications rely on linear prompt-in/text-out APIs, I specialize in engineering cyclic graph topologies (LangGraph, CrewAI) where multiple specialized models pass dependencies, utilize the Model Context Protocol (MCP) for secure tool-calling, and execute tasks autonomously within strict operational constraints. ⚙️ CORE CAPABILITIES: • AI Orchestration & Agents: LangGraph, CrewAI, Multi-Agent Systems • Search & Retrieval: Hybrid RAG, pgvector, Qdrant, Semantic Routing • AI Evaluation: Ragas (Faithfulness, Context Precision), LangSmith • Backend & DevOps: Python, FastAPI, Docker, AWS (EC2, S3), CI/CD My DevOps foundation ensures I treat AI not as a data science experiment, but as reliable, containerized software ready for cloud-native deployment. I build systems evaluated mathematically, not visually. Open to AI Engineer and Agentic AI Engineer roles

Location

Noida

AI stack

langgraph

langsmith

mcp

Guardrails AI

Langflow

llama.cpp

Work experience

AI Engineering Intern at Skill Veda, Jun 2026 - Jul 2026 · 2 mos, Noida, Uttar Pradesh, India

Python Intern at Ikokas Digital Technologies, Mar 2026 - Apr 2026 · 2 mos, Gurugram, Haryana, India

Junior DevOps Engineer at ArcLogiQ Software Solutions, Aug 2025 - Oct 2025 · 3 mos, Noida, Uttar Pradesh, India · Hybrid

DevOps Engineer at ArcLogiQ Software Solutions, May 2025 - Aug 2025 · 4 mos, Noida, Uttar Pradesh, India · Hybrid

DevOps Engineer at PearlThoughts, Apr 2025 - May 2025 · 2 mos, Noida, Uttar Pradesh, India

Education

Bachelor of Technology - BTech, CSE, Lovely Professional University