About Farsight
Farsight is the agentic AI platform for financial services, currently helping investment banks and private equity firms fully automate entire, highly nuanced workflows. Today, institutions will spend 80% of their time gathering information for and creating first drafts of materials by hand before iterating on and refining their decks, models, and pitches. We not only give them that time back to focus on what is important, but we also bring new insights and knowledge to their materials that they wouldn’t be able to uncover without the help of our financial-focused AI.
We work with an immense amount of both public and private data, delivering highly accurate and auditable materials in an arena far too nuanced for large-scale AI out of the box. Oftentimes, our product generates outputs that outperform the work of existing employees.
Our mission is to upend the way financial services work in corporations gets done, effectively integrating AI into the financial needlework of every company on Earth.
Team
We are a small, highly motivated team that is driven by creating technology that amazes. Each one of us wears many different skillset hats, whether that be development, sales, infrastructure, design, product innovation, and more - and we expect those coming in to have the experience or the motivation to wear just as many.
Our team has had a wide range of work experiences that have led us to be the fast growing startup we are. We have gained financial domain knowledge from Evercore and General Atlantic, gained scalable engineering skills from big tech like Amazon, learned enterprise AI sales from Hugging Face, and have learned the ins and outs of building successful startups from previous work as founders and founding engineers. We focus on hiring the best so that we can become the best, so we hope you apply!
We are based 4 days a week out of our office in Manhattan (Fridays are remote).
What You'll Do
As a Software Engineering Intern at Farsight AI, you'll work alongside our engineering team on real projects that ship to production. This isn't just a side-project internship! You'll be deep in our stack, contributing to work that matters, and receiving the support you need to grow.
Own a high-impact project. You'll take ownership of a specific, meaningful project from design through delivery, working with frontier AI models and complex architectures.
Learn from a dedicated mentor. You will be paired with an experienced engineer who will guide your development, pair program with you, and help you navigate our tech stack.
Engineer for reliability and scale. You'll build systems that don't just work on your machine, but work under load for thousands of users. You'll learn professional engineering best practices, including code reviews, testing, and CI/CD.
Collaborate across the company. You'll work closely with designers, GTM, and other teams to gather feedback and refine what you're building.
Showcase your work. At the end of your internship, you will present your final project and its impact to the engineering team and company leadership.
Desired Qualifications
Currently enrolled in a Computer Science or related program
Experience with Python and an understanding of cloud-based infrastructure like AWS
Available full-time for 10-12 weeks in our office in New York City between May and August
Strong interest in learning and understanding generative AI technology and the current, rapidly evolving landscape
Compensation & Benefits
Farsight AI will provide a stipend to Engineering Interns for the duration of their internship (3 months).
Equal Opportunity
Farsight is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.
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