AI Engineer – LLM / MCP / RAG / Agentic AI

About this role

Job Overview

We are seeking a dynamic and innovative AI Engineer specializing in Large Language Models (LLMs), Multi-Component Processing (MCP), Retrieval-Augmented Generation (RAG), and Agentic AI systems. In this role, you will lead the development, implementation, and optimization of cutting-edge AI solutions that leverage generative AI, natural language processing, and scalable big data systems. Your expertise will drive transformative projects across data analytics, predictive modeling, and AI deployment, empowering our organization to harness the full potential of advanced artificial intelligence technologies. Join us to shape the future of intelligent systems and make a meaningful impact through innovative AI engineering.

Duties

• Design, develop, and optimize large-scale AI models including LLMs, RAG architectures, and agent-based systems using frameworks like TensorFlow and machine learning/AI-based analysis tools.
• Implement scalable data pipelines utilizing ETL processes, Hadoop, Spark, Talend, and SQL databases to manage vast datasets efficiently.
• Conduct statistical analysis for research and model evaluation to ensure accuracy, robustness, and scalability of AI models.
• Deploy machine learning models into production environments leveraging cloud services such as AWS and machine learning cloud platforms for seamless integration.
• Collaborate with cross-functional teams to develop natural language processing solutions for diverse applications including chatbots, content generation, and knowledge retrieval systems.
• Perform statistical modeling, data mining, and predictive modeling analysis to extract actionable insights from complex datasets.
• Maintain expertise in emerging AI trends such as generative AI, quantum engineering, and linked data to continuously enhance our technological capabilities.

Requirements

• Proven experience with machine learning frameworks such as TensorFlow or PyTorch and proficiency in Python for model trai...