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Tier-1 brand and metro location increase applicant density despite senior, niche ML/LLM specialization.
Requires deep LLM, reinforcement learning, and financial workflows expertise, limiting cross-industry transferability.
Explicit 14+ years requirement and many mandatory LLM/architecture skills make filters highly stringent.
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Architect and implement multi-agent AI orchestration systems powering intelligent lending workflows using LangChain and LangGraph.
Design and develop scalable backend AI services with FastAPI, including advanced context engineering leveraging reinforcement learning and prompt optimization pipelines.
Lead system-level architecture across distributed microservices, event-driven systems, and database schema evolution, driving technical strategy and mentoring senior engineers.
14+ years of experience in system architecture and technical leadership in AI and distributed systems.
Hands-on expertise in Python (3.11+), LangChain, LangGraph, FastAPI, asynchronous programming, and production AI/LLM application development.
Bachelor’s or Master’s degree in Computer Science, Engineering, or related technical discipline, or equivalent experience.
Preferred knowledge of financial workflows, lending operations, and agentic AI patterns.
Senior-level professional with deep expertise in AI architecture, multi-agent systems, and LLM integration in enterprise environments.
Experienced in designing and scaling distributed, multi-tenant AI microservices with real-time workflow orchestration.
Capable of driving architectural best practices and technical strategy in AI/LLM systems within cross-functional teams including data and product groups.