AI Engineer

About the job

We are seeking an experienced AI Engineer with a strong background in Natural Language Understanding (NLU) who is passionate about pushing the boundaries of Conversational AI. In this role, you will design, develop, and deploy scalable AI solutions leveraging LLMs, Retrieval-Augmented Generation (RAG), and prompt engineering techniques to power intelligent products and services. Responsibilities: • Design, fine-tune, and deploy LLM-based applications for Conversational AI use cases • Build scalable retrieval-augmented generation (RAG) pipelines that combine LLMs with structured / unstructured data sources • Develop prompt engineering strategies, templates, and evaluation frameworks for LLM-driven workflows • Collaborate with cross-functional teams to identify and implement AI-driven solutions to business problems • Optimize models for low-latency inference using quantization, distillation, and other model optimization techniques (e.g., ONNX, TensorRT) • Build robust data processing, labeling, and augmentation pipelines to improve model performance • Implement monitoring and evaluation systems for deployed LLMs, ensuring reliability, fairness, and safety • Stay current with emerging trends in LLMs, retrieval systems, and generative AI frameworks.

Requirements

• Natural Language Understanding
• Conversational AI
• LLMs
• RAG
• Prompt engineering

Qualifications

• 9+ years experience

Preferred Technologies

• Natural Language Understanding
• Conversational AI
• LLMs
• RAG
• Prompt engineering