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 robust 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
Strong 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, FAISS)
Experience with price optimization systems
Experience building data products or internal AI tools

Ideal Candidate Profile
35 years of experience in ML/AI engineering
Solid programming and system design skills
Experience shipping AI systems to production
Ability to translate business problems into AI solutions

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