Senior Software Engineer

About the role

Location:New York City (Hybrid – this role requires 3 days per week in office)

Compensation:$173,000-193,000base + equity +benefits(This range is reflective of level of contribution. Candidates who fully match whatwe’relooking for in this role will be at the top of therange.)

About the Role

Daloopa'smission is to become the market leader in high-quality, actionable data for the world's top investment professionals.We'rejudged on three things: coverage, speed, and accuracy. Whether a hedge fund analyst can find the right number, get it fast, and trust it absolutely.

As a Senior Engineer,you’llbuild and harden the systems that make that data usable in the real world, andyou'llplay an active role in how we develop, evaluate, and improve AI-powered features. That means getting close to LLMs: building pipelines, writing evals, and iterating on prompting strategies and model outputs. The work sits at the intersection of rigorous engineering and applied AI in a domain where the quality of your outputactually movescapital.

Ifyou'rethe kind of engineer who raises the bar around them, challenging ticket scope when somethingdoesn'tfeel right, pushing code quality through thoughtful reviews, and actively helping teammates grow, this is a role for you. We are looking for someone who cares about correctness, challenges vague requirements, and raises the standard for howproductionAI in finance should behave.

WhatYou’llDo

• Design, develop, andmaintainsecure, scalable backend APIs and services using Python, Django, andFastAPIfor enterprise customers.

• Work closely with LLMs, building pipelines, writing evaluations, and iterating 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,optimizeSQL queries, andmaintaindata integrity at scale.

• Collaborate with cross-functional teams, product, frontend, and data/AI, to translate requirements into well-architected technical solutions.

• Participate in code reviews and contribute to high coding standardsand best practices.

Who You Are

• 5+ years of professional engineering experience.

• Strongproficiencyin Python; experience with Django isa strong foundation.

• Hands-on experience working 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/orGraphQLAPI design and development.

• Ability to break down and drive complex technical problems to completion.

• Clear, direct communication anda strong senseof ownership over the outcomes of your work.

• Genuine interest in the problem domain. Financial data, supervised learning systems. You should be the kind of person who readsproduct launchesfrom competitive companiesand has opinions.

• Experience at high-growth, product-focused technology companies whereyou'veowned systems in production andworkedacross 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 andAI‑poweredfeatures 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, and the bar for engineering and applied AI work rises because of your presence.

Apply

If you’re a very business savvy type of engineer that knows how to engage with the executives, but also the clients in a more visionary way, can implementation process, work in anambiguousenvironment,and take ideas and turn them into solutions, we want to hear from you!

About Daloopa, Inc.

Daloopais transforming how investmentprofessionalswork. Our mission is toeliminatethe slow, error-prone parts of fundamental research—without sacrificing accuracy or auditability.

Founded by a former equity research analyst and top engineers, we built an AI-powered platform that converts complex financial filings, transcripts, and KPIs into clean, hyperlinked, customizable data. This means analysts spend less time on manual tasks and more time generating insights that drive performance.

Today,