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.

📌 Senior Ai/genai Engineer Greater Noida
🏢 IndiHire Consultants
📍 Greater Noida