AI/ML Engineer - Python/LLM

<p><p><b>Description :</b><br/><br/><b>Experience :</b> 3 to 6 years (industry experience in AI/Software Development)<br/><br/><b>Education :</b> Master's degree in Computer Science, AI, Data Science, or related fields<br/><br/><b>About the Role :</b><br/><br/>We are building our core AI team and looking for highly skilled AI Engineers who can design, develop, and deploy cutting-edge AI systems.<br/><br/>The ideal candidate will have strong foundations in software engineering, hands-on experience with AI frameworks, and a passion for solving real-world problems using intelligent agents and generative AI.<br/><br/><b>Key Responsibilities :</b><br/><br/>- Design and implement Retrieval-Augmented Generation (RAG) pipelines for enterprise use cases<br/><br/>- Build, optimize, and deploy AI agents using frameworks like LangGraph, AutoGen, or similar<br/><br/>- Develop and maintain scalable AI solutions in production environments<br/><br/>- Collaborate with cross-functional teams (Design, Product, Data, Engineering) to integrate AI into applications<br/><br/>- Research, prototype, and evaluate new AI/LLM techniques to enhance system performance<br/><br/><b>Required Skills & Experience :</b><br/><br/>- Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or related field<br/><br/>- Strong software development background (Python, APIs, microservices, cloud deployment, etc.)<br/><br/>- Experience with LLMs, vector databases, embeddings, and orchestration frameworks<br/><br/>- Proven ability to build and scale AI applications in production<br/><br/>- Familiarity with LangChain, LangGraph, AutoGen, or similar ecosystems<br/><br/>- Good understanding of data pipelines, MLOps, and evaluation metrics<br/><br/><b>Nice-to-Have :</b><br/><br/>- Contributions to open-source AI frameworks<br/><br/>- Experience with distributed systems and large-scale data processing<br/><br/>- Knowledge of reinforcement learning or advanced ML research</p><br/></p> (ref:hirist.tech)