Design, train, fine-tune, deploy, and optimize production AI systems including LLMs, RAG pipelines, agentic workflows, and machine learning solutions. Build APIs and inference pipelines, evaluate quality and performance, monitor production systems, and translate research into scalable applications. Collaborate with engineering, product, leadership, and global research teams while working a required overnight India schedule aligned with U.S. hours.

Build and maintain Python backend services and internal tools for AI/LLM applications. Integrate LLM APIs, design scalable REST APIs and async workflows, handle prompt management and model routing, monitor performance, debug distributed systems, automate data workflows, and collaborate to productionize AI features with emphasis on scalability, reliability, and safety.

Apply expert investment research and capital markets knowledge to evaluate AI-generated financial analyses, validate models and valuations, identify errors, create and refine prompts and benchmark datasets, and provide actionable feedback to improve LLM performance while meeting quality and turnaround expectations.