About Daloopa, Inc.
The data layer behind how AI actually works in finance.
Daloopa turns messy financial disclosures into audit-grade, model-ready data used by institutions like Morgan Stanley. Its infrastructure sits behind flagship launches such as Anthropic's Claude for Financial Services and OpenAI's MCP-based financial workflows via Daloopa's official ChatGPT connector, giving AI agents direct access to verified, traceable fundamentals.
It doesn't just move data; it makes it usable for LLMs in high-stakes, regulated environments where accuracy, sourcing, and audit ability actually matter. This role in production AI for finance has been recognized by outlets like Fast Company's Most Creative Companies 2026 list.
The Role
Daloopa's mission is to become the market leader in high-quality, actionable data for the world's top investment professionals. We're judged on three things: coverage, speed, and accuracy. Whether a hedge fund analyst can find the right number, get it fast, and trust it absolutely. The companies in our space (AlphaSense, , Refinitiv, )
mostly solve "find and surface." Daloopa is solving ground truth at scale. What makes us different is the loop. Our analysts review, correct, and enrich every extraction from financial documents. Those corrections become a training signal for the next generation of
our models. Models get sharper. Analysts get faster. Coverage expands, speed compounds, and accuracy keeps climbing in a way LLM-only competitors can't match. That's why Morgan Stanley trusts our numbers, and why this company has a moat.
Doppler is the platform that loop runs on, and its interface is where analysts spend their day. As a Senior Full stack Engineer on Doppler, you'll own the analyst-facing experience end to end. Primarily the data-dense UI our analysts use to review, correct, and enrich model output at scale, but also the backend behind it: the APIs, data model, and workflows that surface model uncertainty and keep every correction
📌 Senior Fullstack Engineer (Noida)
🏢 Daloopa
📍 Noida