AI Engineer - LLM/RAG - Supply Chain Intelligence

AI Engineer - LLM/RAG - Supply Chain Intelligence Company: HiringBlaze Job Location: Gurugram, Haryana, India Employment Type: Full-time Experience Required: 1 - 3 years Role Overview: We are seeking a high-caliber AI Engineer to join our Gurgaon-based team to spearhead the development of intelligent supply chain solutions. In this role, you will bridge the gap between complex data engineering and cutting-edge Generative AI, building sophisticated RAG pipelines and LLM-driven applications that transform raw logistics data into actionable business intelligence. You will collaborate closely with cross-functional teams, including data scientists, supply chain domain experts, and product managers, to deploy scalable models that optimize inventory management, demand forecasting, and operational efficiency. Key Responsibilities: Architect and implement end-to-end RAG pipelines to enable semantic search and automated insights over vast, unstructured supply chain datasets. Develop and fine-tune LLM-based applications using LangChain and PyTorch to automate complex decision-making processes for logistics stakeholders. Engineer robust data pipelines that integrate disparate supply chain data sources, ensuring high-quality inputs for downstream machine learning models. Design and maintain LLMOps workflows to monitor, evaluate, and iterate on model performance, ensuring reliability in production environments. Execute advanced prompt engineering strategies to improve the accuracy and relevance of AI-generated outputs for internal and external business users. Collaborate with engineering teams to deploy scalable AI solutions on AWS, ensuring high availability and low-latency performance for critical business applications. Required Skillset: Demonstrated expertise in building production-grade NLP and Deep Learning models using Python, with a strong focus on transformer architectures and LLM integration. Proven ability to design and manage VectorDB architectures to support high-performance retrieval-augmented generation systems. Strong foundation in data engineering principles, with the ability to clean, structure, and pipeline complex supply chain datasets for machine learning consumption. Excellent communication skills, with the ability to translate technical AI concepts into strategic business value for non-technical stakeholders. A proactive, problem-solving mindset with the ability to thrive in a fast-paced, hybrid work environment in Gurugram. A degree in Computer Science, Data Science, or a related quantitative field from a top-tier institution, reflecting a strong analytical and academic background. 1 - 3 years of hands-on experience in developing and deploying AI/ML solutions, with a portfolio showcasing successful LLM or RAG implementations. (ref:hirist.tech) .