Senior Software Engineer, (Studio Engineer)

About this role

Senior Software Engineer Our client is building a new kind of learning experience for children.

Their first product is a learning companion for kids ages 5-10 that listens, talks, and teaches math and reading through stories built around what each child is curious about. Behind the experience is a learning graph that understands what a child already knows, what they are working on, and what should come next.

They are a small team building across AI, software, hardware, learning science, and storytelling. They are looking for a Senior Software Engineer to help turn ideas into working experiences at extraordinary speed.

The Role As a Senior Software Engineer, you'll sit at the intersection of engineering, AI tooling, and creative product development.

You'll build the systems that allow the team to go from an idea to a working, student-testable experience in days instead of weeks. You'll work closely with engineers, designers, curriculum experts, and storytellers to make prototyping faster, more collaborative, and easier to turn into production software.

This isn't a traditional feature-engineering role. You'll spend a lot of time building the tools and infrastructure that help the entire team build.

You'll experiment with new AI development workflows, create reusable scaffolding for prototypes, build generative asset pipelines, and develop systems that let agents work autonomously across projects. You'll also help bridge the gap between rapidly built prototypes and reliable production software.

What You'll Do Build Autonomous AI Development Workflows

Build systems for long-running agent tasks that can execute asynchronously and overnight

Create runners, queues, and orchestration systems that allow agents to work across multiple repositories in parallel

Reduce the amount of manual prompting and supervision required to get engineering work done

Experiment with new agentic development workflows and integrate the ones that prove useful into the studio

Build Collaborative Agent Tooling

Move the team beyond isolated 1:1 AI sessions toward shared, collaborative agent workspaces

Connect agent workflows into tools like Slack and Linear so work is visible and accessible across the team

Build systems for triggering, monitoring, and coordinating agent work

Help establish a development environment where engineers, designers, and creative teams can work with AI together

Build Generative Creative Pipelines

Build multimodal AI pipelines for generating images, video, music, sound effects, stories, and other creative assets

Create tools and scaffolding that allow curriculum designers and creators to rapidly produce new activities and experiences

Turn emerging generative AI capabilities into practical tools the studio can actually use

Build reusable infrastructure rather than one-off demos

Turn Prototypes Into Production

Create SDKs and starter modules that make production capabilities easy to use in new prototypes

Package systems such as voice, animation, vision, and conversational AI into reusable building blocks

Keep rapidly built prototypes aligned with evolving core platform capabilities

Build automated workflows for refactoring, upgrading, and hardening prototype code

Establish shared technical standards and libraries that make it easier for successful experiments to graduate into production

Keep the Studio Moving

Own the tooling and engineering work that keeps creative and product teams unblocked

Provide responsive technical support when prototypes, experiments, or studio workflows hit a roadblock

Help protect the deep-work time of engineers focused on foundational systems

Identify recurring friction in the development process and build systems to eliminate it

What Success Looks Like You'll help transform our client into a high-velocity, collaborative, AI-forward studio where creative ideas move quickly from concept to something a child can actually use.

In practice, that means:

New concepts go from idea to student-testable prototype in days instead of weeks

Individual assets and activity iterations happen in hours instead of days

Designers and creators can build against a standardized set of powerful engineering primitives

AI agents can execute meaningful work autonomously and in parallel, including overnight

The team can collaborate with agents through shared workflows rather than isolated chat sessions

Successful prototypes can be hardened and graduated into production without starting over

What We're Looking For

5+ years of professional software engineering experience

Strong software engineering fundamentals and the ability to build production-quality systems

Experience building developer tools, internal platforms, automation, infrastructure, or similar systems

Deep curiosity about AI coding agents and emerging agentic development workflows

Experience working with APIs, orchestration, queues, asynchronous systems, and automation

Comfort working across the stack and moving between infrastructure, product, and creative tooling

A strong prototyping instinct - you like building something quickly, testing it, and iterating

The ability to work autonomously in a small, highly collaborative team

Good judgment about when to prototype, when to build a reusable abstraction, and when to ship something simple

Interest in the intersection of AI, creativity, and learning

Bonus Points

Experience with generative AI pipelines across text, image, audio, or video

Experience building agentic systems or autonomous coding workflows

Experience with Slack, Linear, GitHub, or similar developer workflow integrations

Experience building SDKs, developer platforms, or internal tooling

Experience with voice, real-time interaction, animation, or multimodal systems

Experience working on products for children, education, games, or creative tools

Why Join Our Client You'll join at an unusually early stage, when the engineering decisions and development culture are still being defined.

The team is building a product where AI, software, hardware, storytelling, and learning science all meet. The company describes itself as a small team building real hardware and putting the product in front of actual children every week.

You'll have a direct impact not only on what gets built, but how the entire team builds it.

The next ten people build the thing.