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