Zarna
AI Software Engineering Intern
San Francisco, CA, US · Not specified
- Annual base salary
- See listed compensation
- Equity
- Not disclosed
- Commitment
- Internship
- Company stage
- Not disclosed
Compensation as listed
$5K - $7.5K
About Zarna
Zarna builds AI associates for private equity firms. Our agents work inside Outlook, Teams, Slack, CRMs, and file systems to turn CIMs, emails, meeting notes, and deal data into finished work. They maintain clean records, draft investment materials, and surface relationship intelligence before deal teams need to ask.
Our founders built AI systems from inside a private equity deal team before starting Zarna. That experience shaped how we work today: stay close to users, understand the real workflow, and ship against real business problems.
We are hiring interns who want meaningful ownership early. You will work with the founders and engineering team on production AI agents, enterprise integrations, evaluations, product decisions, and customer deployments. Interns at Zarna ship work that reaches the product and influences how we build the company.
Zarna is a strong fit for people who enjoy small teams, fast feedback, and hard problems that cross AI, software engineering, and finance. We care more about curiosity, judgment, and craft than years of experience.
We are backed by Y Combinator and building from the ground up. If you want to learn quickly, take responsibility, and help define how AI works inside high-stakes businesses, we would love to meet you.
About the role
About the Role
Zarna is hiring an AI Software Engineering Intern to help build AI associates for private equity firms. You will work with the founders and engineering team, own scoped projects, and ship features used in real customer workflows.
This role suits a student or graduate who has moved beyond tutorials and built something meaningful with AI.
What You’ll Work On
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Build AI-powered product features using Python, TypeScript, and modern language models
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Develop agents that understand documents, emails, and other unstructured business data
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Design and run evaluations that measure accuracy and reliability
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Improve our web application and enterprise integrations
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Test, deploy, and iterate on your work using customer feedback
What We’re Looking For
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Currently pursuing or have completed a bachelor’s or master’s degree in computer science
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Hands-on AI experience through projects, research, or prior internships
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Strong programming fundamentals in Python, TypeScript, or another modern language
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Ability to learn unfamiliar systems and solve open-ended problems
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High ownership, attention to detail, and comfort working at startup speed
Nice to Have
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Experience working at an early-stage startup
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Experience with LLMs, agents, retrieval, or evaluation systems
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Technical experience in financial services, investment banking, M&A, or private equity
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A project, GitHub profile, or portfolio that demonstrates what you have built
Why Zarna
You will work close to the product and its users, receive direct feedback from the founding team, and contribute to production systems from the start. You will leave the internship with shipped work and experience building AI for complex business problems.
Technology at Zarna
Zarna is building AI associates that understand complex deal information and complete work across the systems private equity firms use every day.
The core technical challenge is turning probabilistic AI models into dependable products for high-stakes workflows. We work on agent reasoning, document understanding, information retrieval, evaluations, and integrations with enterprise software. Our systems process unstructured data such as emails, financial documents, meeting notes, and CRM records.
We use Python and FastAPI on the backend, TypeScript, React, and Next.js on the frontend, and a PostgreSQL-based data stack. We work with modern language models and agent frameworks, choosing tools based on the problem rather than committing to one model or provider.
Interns work alongside the founders and engineering team, own scoped problems from idea to deployment, and ship features used in real customer workflows. We value strong fundamentals, curiosity, and the ability to learn unfamiliar systems quickly.
Source: Y Combinator. Confirm availability with the employer.
Apply through the original posting.
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