Gen AI Lead Engineer

GenAI Lead Engineer

Role Overview

We are seeking a highly skilled GenAI Lead who can drive the development, optimization, and deployment of advanced LLMs, VLMs, and multimodal AI systems. You will lead the GenAI team, translate business requirements into technical solutions, fine-tune foundation models, design retrieval architectures, and ensure all models are production-ready with optimized inference pipelines.

Key Roles

• Lead the design, development, and enhancement of LLMs, VLMs, RAG systems, and multimodal generation pipelines for production use cases.
• Understand business requirements and convert them into scalable, high-performance AI model architectures and workflows.
• Fine-tune and customize Transformer-based models using proprietary datasets, advanced training strategies, and evaluation frameworks.
• Optimize tokenization, embedding generation, vector search, and retrieval flows for high-throughput applications.
• Develop high-performance inference pipelines using ONNX, TensorRT, quantization, batching, streaming, and GPU / accelerator optimizations.
• Ensure all models are production-grade—robust, scalable, monitored, and integrated into backend systems.
• Lead and mentor the GenAI engineering team, conduct code / model reviews, and drive overall technical direction.
• Research and evaluate cutting-edge architectures in multimodal models, generative AI, and retrieval-augmented techniques.

Responsibilities

Required Qualifications

Note - We accept International applicants also