India: AI Engineer

At H&P, our people are our strength.   We are seeking a skilled and experienced AI Engineer with expertise in Python, Machine Learning, Deep Learning, and full-stack software development. The ideal candidate will have a strong background in machine learning and a deep understanding of Natural Language Processing and will be equally comfortable building the front-end and back-end of the applications that put those models to work including agentic and generative AI (GenAI) solutions such as Retrieval-Augmented Generation (RAG) systems to develop advanced solutions for intelligent document processing. The role involves leveraging advanced analytical techniques and modern software engineering practices to drive data-driven decision-making and deliver innovative, end-to-end solutions to our Internal and External Customers. Responsibilities: Design, develop, and implement advanced machine learning models and algorithms to solve complex business problems. Leverage expertise in Python, Machine Learning to develop cutting-edge data-driven solutions. Utilize NLP and NLU techniques to extract insights, classify, and process information from unstructured text data in documents. Design, build, and deploy agentic AI and generative AI (GenAI) applications, including Retrieval-Augmented Generation (RAG) pipelines and LLM-powered agents, to automate workflows and enhance decision-making. Build and maintain full-stack applications — front-end interfaces and back-end services/APIs — that deliver AI/ML and GenAI capabilities to end users. Conduct data analysis, pre-processing, and modeling to extract valuable insights and drive data-driven decision-making. Collaborate with cross-functional teams to understand business requirements and translate them into actionable AI/ML solutions. Stay up to date with the latest advancements in AI/ML technologies, frameworks, and tools, and proactively learn and adopt new technologies to enhance our offerings. Communicate effectively with stakeholders, presenting findings, recommendations, and project progress in a clear and concise manner. Primary Skills: Machine Learning (e.g., CNN, RNN, GAN, Transformers, Encoder-Decoder architectures, NLTK, Transformers). Knowledge and experience in Python. Full-Stack Software Development: Proficiency building complete web applications, including front-end (e.g., JavaScript/TypeScript, React, HTML/CSS) and back-end development (e.g., Python frameworks such as FastAPI, Flask, or Django; RESTful/GraphQL API design; SQL/NoSQL databases). Agentic AI & Generative AI: Hands-on experience designing, building, and deploying agentic AI systems and LLM-powered applications, including orchestration and agent frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel, LangGraph, AutoGen, CrewAI), vector databases (e.g., FAISS, Pinecone, Azure AI Search), and prompt engineering. Data Analysis and Modeling. AI/ML Architecture: Design and develop scalable and efficient AI/ML…