Generative Lead AI Engineer

Job Description

About Trademo Trademo is a Global Supply Chain Intelligence SaaS Company, headquartered in Palo-Alto, US. Trademo collects public and private data on global trade transactions, sanctioned parties, trade tariffs, ESG and other events using its proprietary algorithms.Trademo analyzes and performs advanced data processing on billions of data points (50Tb+) using technologies like Graph Databases, Vector Databases, ElasticSearch, MongoDB, NLP and Machine Learning (LLMs) to build end-to-end visibility on Global Supply Chains. Trademo’s vision is to build a single truth on global supply chains to different stakeholders in global supply chains - discover new commerce opportunities, ensure compliance with trade regulations, and automation for border security. Trademo stands out as one of the rarest Indian SaaS startups to secure 12.5 mn in seed funding. Founded by Shalabh Singhal, who is a third-time tech entrepreneur and an alumni of IIT BHU, CFA Institute USA, and Stanford GSB SEED. Our Trademo is backed by a remarkable team of leaders and entrepreneurs like Amit Singhal (Former Head of Search at Google), Sridhar Ramaswamy (CEO, Snowflake), Neeraj Arora (MD, General Catalyst & Former CBO, Whatsapp Group. What you will be doing? Define and execute Trademo’s AI roadmap across five core products Architect and implement GenAI pipelines for document intelligence, HS code classification, sanctions screening, and supply chain mapping Lead R&D on LLM-based tools (e.g., RAG, prompt optimization, fine-tuning, agents) Work hands-on with engineers to build and scale production-ready models Mentor and manage a small team of AI/ML engineers and interns Collaborate cross-functionally with product managers, designers, and compliance SMEs Stay ahead of trends in GenAI, transformers, open-source LLMs, and model orchestration tools Desired Profile 8–12 years of experience in applied AI/ML, with at least 3 years focused on LLMs/GenAI Strong background in machine learning, NLP, and Python-based AI tooling (LangChain, HuggingFace, etc.) Experience deploying models in production within SaaS or platform environments Ability to architect, prototype, and optimize AI systems end-to-end Prior experience managing small teams or mentoring engineers Exposure to compliance, fintech, logistics, or enterprise SaaS is a plus. Show more Show less