Senior AI Product Engineer (SF)

Job Description

Job Description

Kapwing is building the next generation prompt-to-edit platform for video creators. Our mission is to make content creation fast, accessible, and collaborative. In doing so, we enable everyone to share their story online. Kapwing has two products:

- Kapwing AI: A prompt-first AI editing companion that helps creators refine visual content. Instead of learning complex design software, users can chat with Kai to explore content ideas instantly in the browser. Kapwing AI launched in Fall 2025, and leverages the best LLMs and generative models to empower users to ideate, edit, and generate images, videos, and audio.

- Kapwing Studio: An online video editor that is collaborative, powerful, and easy to use. Millions of creators every month choose Kapwing to tell their story and bring their ideas to life.

 

Kapwing turns video editing, traditionally a heavyweight, time consuming workflow, into a joyful, collaborative experience. We believe that we can use technology to augment the video editing and content creation experience, and we've already started on this path with a wide array of templates, plugins, and new pipelines for combining tooling with the best AI models.

 

Join us on our journey to democratize creative tools and invent the future stack of video creation.

 

Responsibilities

• Define, build, and launch full-stack features (React, Node, and Python) for one of the world's most popular cloud-based video editors.

• Design, test, and implement LLM powered pipelines to automate away tedious parts of visual design and video editing.

• Prototype and test new technologies and generative models to evaluate quality, revise prompts, and improve performance.

• Test new features, monitor releases, and mitigate risk.

• Investigate and prototype new technologies and build applications on top of ML-powered APIs

• Implement new features and improvements to Kapwing’s Studio and other core products. Partner with product and growth to reach new creators and sell to creative enterprises.

Requirements

• 5+ years of production-level software engineering experience in a modern web stack

• 2+ years of experience building on top of LLMs; Familiarity modifying files with LLM tool calling

• Comfortable with React, Redux, Typescript, Node, automated testing (i.e. Cypress, Jest) and tRPC APIs

• Experience prototyping and building new products from scratch. Can evaluate, configure, and incorporate new web technology

• Scrappy: Define and quickly execute on MVPs to test product hypotheses. Descopes problems to avoid getting lost in the weeds.

• Entrepreneurial: Excited about joining a small team and contributing across all areas of the company

• No ego: There’s a lot we wish we could do but don’t have time for. Must have the ability to put the product’s needs first.

• [Preferred] Interest in or experience with video engineering (processing, uploads, FFMPEG, visual recognition, etc)

• Work authorization in the USA for 4+ years without sponsorship

Kapwing Culture No ego: Theres a lot we wish we could do but don't have time for. Must have the ability to put the product needs first Scrappy: Define and quickly execute on MVPs to test out product hypotheses. Descopes problems to avoid getting lost in the weeds Entrepreneurial: Excited about joining a small, high-growth team and contributing across all areas of the company Passion for serving creative professionals and interest in media. Our product is fun and we have you to have fun building it too!

 

Kapwing Culture

No ego: Theres a lot we wish we could do but don't have time for. Must have the ability to put the product needs first

Scrappy: Define and quickly execute on MVPs to test out product hypotheses. Descopes problems to avoid getting lost in the weeds

Entrepreneurial: Excited about joining a small, high-growth team and contributing across all areas of the company

Passion for serving creative professionals and interest in media. Our product is fun and we have you to have fun building it too!

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.