AI Engineer

Design, build, and deploy AI/ML solutions using Large Language Models (LLMs) and Generative AI technologies.

Fine-tune open-source and proprietary foundation models for domain-specific use cases.

Work on model optimization techniques including quantization, pruning, distillation, and efficient inference.

Develop Retrieval-Augmented Generation (RAG) pipelines using embeddings and vector databases.

Optimize models for edge/on-device deployment on low-resource hardware.

Collaborate with product, platform, and application teams to integrate AI capabilities into products.

Evaluate model performance using appropriate benchmarks and metrics.

Stay updated with the latest advancements in AI, GenAI, multimodal AI, and edge AI ecosystems.

Mentor junior engineers and contribute to technical design discussions.