Expert AI Engineer

Enterprise GenAI Implementation

• Design and build production-grade GenAI applications from concept to deployment
• Architect and implement solutions using LLMs, Retrieval-Augmented Generation (RAG), and Agentic AI frameworks
• Build and maintain LangChain-based pipelines for complex, multi-step AI workflows
• Integrate 10+ enterprise data sources into unified GenAI applications, ensuring reliable data ingestion and retrieval

Platform Engineering

• Own AI orchestration layers supporting scalable, multi-model GenAI systems
• Maintain 99.9% uptime for production AI services through robust monitoring, failover, and incident response practices
• Implement governance and compliance frameworks covering data security, model usage, and responsible AI practices
• Build resilient, containerized deployments using Kubernetes and CI/CD pipelines

Business Impact

• Drive accelerated GenAI adoption (40–60% improvement) across business units through scalable tooling and enablement
• Improve answer accuracy by 30% through refined retrieval strategies, prompt engineering, and evaluation pipelines
  • Design and deliver reusable AI accelerators (frameworks, templates, components) to speed up future GenAI initiative