Senior Software Engineer

Company Overview Daloopa is transforming how investment professionals work by eliminating slow, error‑prone parts of fundamental research. 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 Location & Compensation Location: New York City (Hybrid – 3 days per week in office) Compensation: $173,000‑193,000 base + equity + benefits About the Role Daloopa's mission is to become the market leader in high‑quality, actionable data for the world's top investment professionals. As a Senior Engineer, you will build and harden the systems that make that data usable, and play an active role in developing, evaluating, and improving AI‑powered features. Responsibilities Design, develop, and maintain secure, scalable backend APIs and services using Python, Django, and FastAPI for enterprise customers. Build pipelines, write evaluations, and iterate on prompting strategies to improve LLM 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 cross‑functional teams—product, frontend, data/AI—to translate requirements into well‑architected solutions. Participate in code reviews and contribute to high coding standards and best practices. Qualifications 5+ years of professional engineering experience. Strong proficiency in Python; experience with Django is a strong foundation. Hands‑on experience with LLMs in production, building pipelines, writing evals, and improving model outputs. Experience with distributed systems, caching, and asynchronous task queues (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 a strong sense of ownership over the outcomes of your work. Genuine interest in the problem domain; financial data, supervised learning systems. Experience at high‑growth, product‑focused technology companies where you have owned systems in production and worked across teams. Bonus Points Background in fintech, financial data, or other domains where data quality is mission‑critical and audit trails matter. Familiarity with the financial fundamentals landscape: 10‑Ks, 10‑Qs, transcripts, segment reporting, non‑GAAP reconciliations. Success Looks Like You build systems and AI‑powered features that are deeply trusted by customers because they are reliable, accurate, and improve meaningfully over time. You consistently raise the standard for quality and clarity, challenging assumptions, tightening requirements, and turning ambiguous problems into durable solutions. Teammates look to you as a thought partner and reviewer, raising the bar for engineering and applied AI work. #J-18808-Ljbffr Daloopa