• Design and implement advanced multi-step reasoning agents (tool use, planning, reflection, self-improvement loops) • Develop frameworks for multi-agent coordination and task decomposition • Improve reliability, latency, and cost efficiency of agent execution • Architect short-term and long-term memory subsystems (episodic, semantic, retrieval-based, hybrid) • Define and implement evaluation frameworks for agent performance (task success, reasoning quality, robustness) • Translate latest community research ideas into production-grade systems

• Conduct applied research in knowledge graphs, graph reasoning, and neuro-symbolic AI • Prototype graph-enabled solutions for real business problems such as fraud detection and relationship discovery • Evaluate architectures and reasoning strategies to inform platform and roadmap decisions • Define and implement ontology and semantic modeling patterns • Design entity resolution and linkage approaches • Partner with engineering, platform, and MLOps teams to operationalize graph capabilities with enterprise-grade standards • Design evaluation frameworks for reasoning quality, robustness, and traceability • Contribute reusable patterns, documentation, and integration guidance

• Design, train, and evaluate machine learning models across a range of research and applied AI initiatives • Run rapid, iterative experiments to test hypotheses and surface insights that drive model improvements • Collaborate closely with researchers and engineers to translate cutting-edge academic advances into practical, production-ready systems • Build and maintain robust ML pipelines for data ingestion, feature engineering, model training, and evaluation • Optimize model performance through fine-tuning, hyperparameter search, and architecture experimentation • Contribute to a culture of rigorous experimentation; tracking results, documenting findings, and sharing learnings with the broader team • Stay current with the latest developments in ML and AI research, and proactively identify opportunities to apply them • This position may require stand-by, on-call, or off-hours duties during critical research or deployment milestones

Role Description We're building out our India cohort and looking for high-performing investment banking associates in Bangalore to join as AI Residents. This is a chance to apply your bulge-bracket training to a problem set that didn't exist five years ago: teaching frontier AI to reason like a banker. - Prompt: Build realistic, deal-relevant scenarios, the kind of work you'd assign to a first-year analyst, and test AI outputs against the standards of a real deal team. - Compare human vs. machine judgment: Identify where AI reasoning breaks down on valuation, accounting nuance, and transaction structuring. - Design frameworks: Translate banker intuition; how you stress assumptions, navigate ambiguity in financials, and pressure-test management projections, into problems that challenge frontier AI. - Construct expert benchmarks: Build and annotate real-world DCFs, LBOs, comps, and live deal cases used to evaluate AI systems. Qualifications - 3–4+ years of IB or Corporate Finance experience at a top international bank (bulge bracket, elite boutique, or top-tier global advisory). - Associate level; sector agnostic. - Strong modeling and valuation skills (DCF, LBO, comps, precedents). - Excellent written communication and attention to detail. - Real intellectual curiosity about AI in finance. Requirements - Commitment: Minimum 30+ hours/week, flexible scheduling. - Location: Bangalore-based, fully remote. - Compensation: Competitive hourly rate, commensurate with experience. - Start date: Immediate / Rolling. - Referral bonus for any successful referral hired into this role. Benefits - Direct exposure to how AI labs train models, knowledge that will be increasingly valuable across buy-side, strategy, and corporate development roles. - Be among the first IB professionals in India contributing to the frontier AI development process in finance. - A differentiated story for your next move, whether that's PE, growth equity, or a strategic role.