AI/ML Engineer

About the job

We are seeking a skilled AI/ML Engineer with strong hands-on experience in Retrieval-Augmented Generation (RAG) systems and Large Language Models (LLMs). The ideal candidate will be responsible for designing, building, and deploying scalable AI solutions in production environments. Key Responsibilities • Design, develop, and deploy RAG-based AI/ML solutions using LLMs • Work on end-to-end AI/ML pipelines, including data preprocessing, feature engineering, model training, evaluation, and optimization • Integrate LLMs with enterprise data sources and vector databases • Optimize model performance, latency, and cost for production use cases • Deploy and manage AI/ML models using cloud platforms • Collaborate closely with product, engineering, and data teams to deliver AI-driven solutions • Troubleshoot, monitor, and enhance models in live production environments Required Skills & Qualifications • 4–7 years of experience in AI/ML engineering or related roles • Mandatory hands-on experience with RAG systems and LLMs • Strong understanding of machine learning algorithms, NLP, and deep learning concepts • Experience in data preprocessing, model training, fine-tuning, and optimization • Exposure to cloud platforms (AWS / Azure / GCP) for AI/ML deployment • Proficiency in Python and common ML/AI frameworks • Strong analytical, problem-solving, and communication skills • Ability to work effectively in a fast-paced, collaborative environment Good to Have • Experience with vector databases and embeddings • Familiarity with MLOps practices • Prior experience deploying LLMs in enterprise-scale applications

Requirements

• RAG systems
• Large Language Models
• Machine learning algorithms
• Data preprocessing
• Python proficiency

Qualifications

• 4-7 years experience

Preferred Technologies

• RAG systems
• Large Language Models
• Machine learning algorithms
• Data preprocessing
• Python proficiency