Research Scientist, Applied AI

Description: Build core agent behavior for a revenue-focused AI agent, from harness and evaluations to fine-tuning and reinforcement learning. Own and advance the agent harness, improving tool selection, context building, and multi-step task handling through experimentation. Requirements: 5+ years of experience in applied AI research or applied science at a senior level. MS or PhD in Computer Science, Mathematics, Statistics, or a related quantitative discipline. Hands-on experience with agentic systems, LLMs, and large-scale deep learning systems. Proven ability to scope and drive ambiguous research with minimal guidance. Publications in top-tier peer-reviewed conferences or journals preferred. Benefits: Competitive salary and equity at Series A, ahead of the next funding round. Remote role with in-person team meetings in Bangalore. Meaningful scope from day one, owning core agent capabilities. Direct collaboration with the Head of AI and founders.