Senior AI/GenAI Engineer

Role & responsibilities

• Design, develop and implement AI/GenAI solutions and reusable accelerators for enterprise use cases.
• Develop RAG, conversational AI, document intelligence, AI agent and automation solutions.
• Evaluate and integrate open-source models/frameworks and Azure/AWS AI services based on solution requirements.
• Develop POCs and prototypes for emerging AI/GenAI technologies and convert successful solutions into reusable accelerators.
• Design and optimize AI/GenAI application architecture, model integration and inference pipelines.
• Evaluate and improve model quality, accuracy, scalability, latency and cost.
• Identify technical challenges and propose effective AI/GenAI solutions.
• Collaborate with architects, developers, data and cloud teams to integrate AI capabilities into enterprise applications.
• Contribute to AI/GenAI reference architectures, engineering standards and reusable implementation patterns.
• Stay updated with latest advancements in AI/GenAI technologies and evaluate their applicability to the organizations roadmap.

Preferred candidate profile

• Experience with fine-tuning techniques such as LoRA, QLoRA or PEFT.
• Experience with PyTorch/TensorFlow, CUDA, TensorRT or GPU-based inference.
• Experience developing reusable AI/GenAI accelerators or platforms.