Senior AI Product Engineer

AI Talent Now; San Francisco (CA); On-site; USD 150,000 - 200,000; Full time

Job summary

AI Talent Now seeks a Senior AI Product Engineer for a San Francisco client building a next-generation prompt-to-edit platform for video creators. You will own full-stack development using React, Node, and Python, and design LLM-powered pipelines to automate visual design and editing tasks.

You will test, optimize prompts, prototype new technologies, and collaborate with product and growth to reach creators and creative enterprises, shaping a democratized video creation stack.

Qualifications

• 4 - 8 years of production-level full-stack software engineering experience.

Responsibilities

• Define, build, and launch full-stack features (React, Node, and Python) for a cloud-based video editor.
• Design, test, and implement LLM powered pipelines to automate design and video editing tasks.
• Prototype and test new technologies and generative models to evaluate quality and improve prompts.
• Test new features, monitor releases, and mitigate risk.
• Investigate and prototype new technologies on ML-powered APIs.
• Implement 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.

Skills

React

TypeScript

LLM-powered features

Web applications

Video engineering

Tool-calling

Context management

Agent architectures

Education

CS degree

Tools

FFmpeg

Job description

San Francisco, United States | Posted on 07/24/2026

AI Talent Now, LLC is a powerhouse in direct-hire talent acquisition, connecting exceptional talent with industry-leading organizations across IT, Engineering, Financial Services & Fintech, and Manufacturing & Robotics. Headquartered in Atlanta, Georgia, we proudly serve clients and candidates nationwide.

Job Description

AI Talent Now job # Senior AI Product Engineer(ZR_95_JOB)

Our San Franisco based client is building the next generation prompt-to-edit platform for video creators. Their mission is to make content creation fast, accessible, and collaborative. In doing so, they enable everyone to share their story online.

They have two products:

• K AI: A prompt-first AI editing companion that helps creators refine visual content.
  
• K 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.
  

This dynamic company 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 them on their journey to democratize creative tools and invent the future stack of video creation!

What you’ll do

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

Role requirements

Seniority

4 - 8 years of experience of production-level full-stack software engineering experience.

Has shipped LLM-powered features to real end users in production (not research, not side projects).

Has owned the evaluation stack for a non-deterministic AI system end-to-end (can explain how they knew B was better than A).

Experience building and shipping web applications (not looking for engineers who have worked on primarily mobile or native apps).

Experience with video engineering (FFM PEG, processing, uploads).

Education

CS or equivalent technical degree from a US-based university.

Strong React and TypeScript proficiency.

Experience with tool-calling, context management, and agent architectures

Demonstrable career progression (e.g., promoted from mid to senior/staff within a single company).