Machine Learning Engineer

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 strong 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

Good 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
• Strong programming and system design skills
• Experience shipping AI systems to production
• Ability to translate business problems into AI solutions