About the role
We are looking for an AI Infrastructure Architect / GenAI Engineer with hands-on experience in generative AI, LLMs, and AI architecture. The role involves designing, developing, integrating, testing, and deploying enterprise-grade GenAI and agentic AI solutions.
Responsibilities:
- Design and deploy GenAI/LLM applications and AI solutions.
- Develop prompt engineering, fine-tuning, and model optimization strategies.
- Build scalable data, training, and inference pipelines.
- Optimize LLM performance using quantization and inference optimization techniques.
- Integrate AI models and agentic AI components into enterprise applications.
- Work with data scientists, engineers, and product teams to deliver AI solutions.
- Support AI infrastructure architecture, scalability, cost, and performance optimization.
- Document architecture, technical specifications, and implementation best practices.
Requirements:
- Experience: 5+ Years.
- Education: 15 Years Full-Time Education.
- Must Have: Generative AI / LLM.
- Good to Have: AWS.
- Key Skills: Generative AI, LLM, Foundation Models, Prompt Engineering, Fine-Tuning, AI/ML, Model Inference, Quantization, Agentic AI, AI Architecture, and AWS.