Senior Software Engineer

Daloopa; New York (NY); Hybrid; USD 173,000 - 193,000; Full time

Benefits offered by this job

Competitive pay + performance incentives

Equity in a fast-growing FinTech

Hybrid work schedule

Career growth and mentorship opportunities

Full benefits package

Job summary

Daloopa in New York is seeking a Senior Engineer to build and maintain backend APIs using Python and Django, while improving LLM-powered features.

The ideal candidate has over 5 years of engineering experience with a strong focus on reliable data systems. This role offers competitive compensation, equity, and a vibrant collaborative culture.

Qualifications

• 5+ years of professional engineering experience.
• Strong proficiency in Python and experience with Django.
• Hands-on experience with LLMs in production.

Responsibilities

• Design, develop, and maintain secure backend APIs and services.
• Build pipelines and improve LLM quality and reliability.
• Implement LLM observability and monitoring systems.

Skills

Python

Django

LLMs in production

Distributed systems

RESTful and/or GraphQL APIs

Job description

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.