Generative AI Application Developer

Job Description :

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.

As part of our ML / AI team, you’ll own the full lifecycle of model development — from data preparation and fine-tuning to inference optimization and deployment in production environments.

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 :

Nice to Have :