● Lead end-to-end development of GenAI-based solutions, including architecture design, coding, and deployment.
● Provide technical expertise in troubleshooting and optimizing GenAI solutions.
● Build RAG pipelines, vector databases, and prompt optimization.
● Implement best practices in APIs, microservices, and backend components for integrating AI into production systems.
● Design, evaluate, and tune system/user prompts for accuracy, latency, and guardrails.
● Implement model versioning, testing, and monitoring for drift and performance(MLOps)