Senior Software Engineer

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Daloopa

WebsiteLinkedInAll Job Openings

51 - 200 employees

💸 Finance

☁️ SaaS

🤖 Artificial Intelligence

💰 $13M Venture Round - Daloopa on 2025-07

Finance • SaaS • Artificial Intelligence

Daloopa is a financial data and AI-powered model automation company providing high-quality, audited fundamental data and tools that integrate with Excel and AI agents. It supplies a Model Context Protocol (MCP) and API access to over 5,000 global tickers, extracted via proprietary AI parsing from filings, presentations, press releases and transcripts, with hyperlink auditability and >99% accuracy. Daloopa's products (Copilot, Updater, Scout, Cloud, MCP) enable rapid model building, automated updates, and LLM integration for financial institutions, hedge funds, private equity, and corporate finance teams.

📋 Description

• Design, develop, and maintain secure, scalable backend APIs and services using Python, Django, and FastAPI for enterprise customers • Build LLM pipelines, write evaluations, and iterate on prompting strategies and model outputs to improve quality and reliability • Implement LLM observability, monitoring, and evaluation systems to track model performance, latency, and cost • Design efficient and scalable database schemas, optimize SQL queries, and maintain data integrity at scale • Collaborate with product, frontend, and data/AI teams to translate requirements into well-architected technical solutions • Participate in code reviews and contribute to high coding standards and best practices • Build systems and AI-powered features that are reliable, accurate, trusted by customers, and improved over time • Challenge assumptions, tighten requirements, and turn ambiguous problems into durable solutions • Act as a thought partner and reviewer for teammates • Engage with executives and clients, work through implementation processes, and turn ideas into solutions

🎯 Requirements

• 5+ years of professional engineering experience • Strong proficiency in Python • Experience with Django • Hands-on production experience with LLMs, including building pipelines, writing evaluations, and improving model outputs • Experience with distributed systems, caching, and asynchronous task queues such as Celery or equivalent • Solid understanding of RESTful and/or GraphQL API design and development • Ability to break down and drive complex technical problems to completion • Clear, direct communication and strong ownership of work outcomes • Genuine interest in financial data and supervised learning systems • Experience at high-growth, product-focused technology companies, owning production systems and working across teams • Ability to engage with executives and clients in a visionary way • Ability to work through implementation processes and in an ambiguous environment • Bonus: background in fintech, financial data, or domains where data quality and audit trails are mission-critical • Bonus: familiarity with 10-Ks, 10-Qs, transcripts, segment reporting, and non-GAAP reconciliations

🏖️ Benefits

• Competitive pay • Performance incentives • Equity in a fast-growing FinTech • Hybrid work schedule (3 days in-office) • Career growth and mentorship opportunities • A vibrant, collaborative culture • Full benefits package • Equity • Benefits • Travel to the HQ in NYC