Applied AI / LLM Systems Engineer

Location: Gurgaon

Team: AI/ML

Role Overview

We are looking for a highly skilled Applied AI Engineer to build and deploy production-grade AI systems across forecasting, data intelligence, and LLM-powered automation.This role focuses on designing agentic AI systems, data pipelines, and predictive models that directly power business decision-making. You will work on building systems such as price intelligence engines, automated data pipelines, forecasting models, and LLM-powered decision agents.The ideal candidate combines solid ML fundamentals, software engineering rigor, and experience deploying AI systems in production.

Key Responsibilities
Build Production AI Systems
Design and deploy LLM-powered agent systems using frameworks like LangGraph, AutoGen, or LangChain
Build AI pipelines integrating structured data, APIs, and external sources
Implement RAG architectures for knowledge-driven applications

ML Infrastructure & Deployment
Deploy models using:
Docker
Kubernetes
FastAPI
AWS / GCP
Build scalable ML pipelines




Implement model monitoring and performance tracking

AI Product Development
Convert business problems into AI-driven solutions
Build decision-support tools powered by ML models
Work closely with leadership to implement AI-first workflows

Required SkillsCore AI / ML
Robust experience with Python
Machine learning frameworks:
PyTorch
Scikit-learn
LightGBM / XGBoost
Experience building time-series forecasting models

LLM Systems
Experience building applications with:
LangChain
LangGraph
AutoGen
Experience with RAG architectures
Familiarity with open-source models such as:
LLaMA
Mistral
Mixtral

Data Engineering
SQL and data modeling
ETL pipeline development
Web scraping and API integrations

Infrastructure
Docker
Cloud platforms (AWS/GCP/Azure)
CI/CD pipelines

Positive to Have
Experience with agentic AI systems
Vector databases (Pinecone, Weaviate, F

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