Senior AI Engineer (Gen AI)

About Trademo

At Trademo, we are transforming global trade and supply chains by leveraging cutting-edge AI technology to provide businesses with unparalleled visibility, compliance, and intelligence solutions. Our AI-driven platform simplifies the complexities of international trade, helping companies mitigate risks, enhance efficiency, and make data-driven decisions with confidence.

Our AI-Enhanced Solutions :

✅ Trademo Intel - AI-powered trade intelligence to uncover market trends and competitive insights.

✅ Trademo Sanctions Screener - AI-driven compliance with 650+ global sanctions and PEP lists.

✅ Trademo Global Trade Compliance - Real-time regulatory and tariff data for 140+ countries, with AI workflows for HS / ECN classification, controls determination, and licensing.

✅ Trademo Map - AI-powered global supply chain mapping and screening, detecting risks like Forced Labor (UFLPA) and sanctions in deep-tier networks.

✅ Trademo TradeScreen - AI-powered trade transaction digitization, financial crime screening and compliance platform.

Trademo collects and integrates diverse open-source data points to create our AI-driven knowledge graph, TrademoKG. These data points include Customs Declarations, Shipping Data, Satellite Data, AIS Data, Vessels, Web Footprints, Global Tariffs & Duties, FTAs, Import / Export Controls, Export Licenses, Key Personnel & Ownership, Company Financials, and Company Legal information. By analyzing trade data from 200+ countries, Trademo uses AI to provide deep insights, ensuring visibility and compliance across global supply chains.

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.

Key Responsibilities :

Development and deployment of ML and GenAI-powered features across the product.

Architect and implement scalable ML pipelines and GenAI integrations.

Work closely with product, design, and engineering teams to translate business problems into data / ML solutions.

Own model training, validation, and deployment pipelines.

Mentor a junior team of junior AI engineers and researchers.

Stay updated with the latest in GenAI and ML research, and drive adoption of relevant innovations.

Requirements :

2-4 years of experience in ML / Data Science, with at least 1+ year working on GenAI

B.E. / B.Tech from tier-I / II institutes.

Strong hands-on experience with LLMs.

Solid experience with Python and ML frameworks (PyTorch, TensorFlow, Hugging Face, LangChain, etc.)

Deep understanding of NLP, transformers, and deep learning fundamentals

Proven ability to lead end-to-end ML / AI feature development in a startup or product environment.

Strong communication and cross-functional collaboration skills.