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 Skills Core 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 3–5 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