01Overview
AI/ML Engineer AI Operating System for Capital Markets Location Bangalore/Chennai Experience 5+ years Function Artificial Intelligence / Machine Learning Employment Type About Transient.AI Full-time Transient.AI is building a next-generation AI Operating System for capital markets a unified intelligence layer that connects research, trading, compliance, and sales functions at banks and hedge funds. Today, these teams largely operate on disconnected legacy systems, forcing manual, expensive workarounds. Transient.AI replaces that fragmentation with a single AI-native layer built for institutional-grade compliance, security, and auditability. The company already has live products in market, including Caddie.AI (a research automation tool that cuts hedge fund research time significantly), ClarityRIA (helping sales teams identify the right investors in seconds), and CapFlo.AI (automated parsing of complex derivatives contracts). Founded by former traders and technologists from Goldman Sachs, Credit Suisse, UBS, and McKinsey, Transient.AI is headquartered in New York, with teams in Miami, Singapore, and India. The company has raised Series A funding and is scaling its engineering and product organization globally. Role Overview Transient.AI is hiring an experienced AI/ML Engineer to join its India engineering team in Bangalore/Chennai. This is a hands-on, build-from-scratch role you'll be designing and shipping the core machine learning systems that power the company's flagship products, working closely with founders and senior engineers rather than inheriting existing infrastructure. Key Responsibilities Design, build, and deploy machine learning and AI models that power Transient.AI's core products (research automation, document intelligence, investor matching, and workflow orchestration). Workonapplied NLP/LLMsystems, including retrieval-augmented generation, structured extraction from unstructured financial documents, and model evaluation pipelines. Partner closely with product and founding engineers to translate capital markets workflows into scalable AI systems. Ownmodelperformance, reliability, and cost from experimentation through production deployment. Build and maintain data pipelines, feature stores, and evaluation frameworks to support rapid iteration. Ensuresystems meet the compliance, auditability, and security standards required in regulated financial environments. What We're Looking For 5+years ofexperience building and deploying machine learning or AI systems in production. Strong hands-on experience with Python and modern ML/AI frameworks (PyTorch, TensorFlow, Hugging Face, LangChain, or equivalent). Experience with LLMs fine-tuning, prompt engineering, RAG architectures, or agentic systems is highly valued. Solid grounding in data structures, distributed systems, and MLOps practices (model serving, monitoring, versioning). Prior experience at a strong product company, high-growth startup, or a top-tier engineering background Comfort operating in an early-stage, high-ownership environment with limited process and high ambiguity. Exposure to fintech, capital markets, or other regulated industries is a plus, though not mandatory. WhyJoin Transient.AI Build core AI systems from the ground up not maintain legacy code. Workdirectly with founders who have deep, first-hand Wall Street experience (Goldman Sachs, Credit Suisse, UBS, McKinsey). JoinaSeries A-funded company solving a real, expensive problem for institutional finance. Bepart ofasmall, global team with outsized ownership and impact. . .
