> Markdown version of [/jobs/ext/1250712-software-engineer-character-platform-tools](https://www.wearedevelopers.com/jobs/ext/1250712-software-engineer-character-platform-tools). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer, Character Platform & Tools - **Company:** Sesame AI - **Location:** San Francisco, CA, United States - **Experience:** Experienced - **Salary:** $175,000.0 - $280,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Cloud Computing, Design of User Interfaces, Python (Programming Language), Raw Data, Next.js, ReactJS, Backend, Fastapi, Build Management, Kubernetes, Machine Learning Operations, Front End Software Development - **Published:** July 12, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=fbcf754854df34c4 ## About the Role * Demonstrated 4+ years experience building and shipping production full-stack systems, with a strong sense of UI/UX for tools designed to be used by experts in other fields * Experience building internal platforms or tooling, not just features - you think about the system, not just the ticket * Proficiency with modern web stacks (we use React/Next.js and Python/FastAPI) * Experience with cloud infrastructure (we're on GCP/Kubernetes) * A strong sense of reliability and knowing when to build vs. borrow * Curiosity about the domain: you don't need to be an ML engineer, but you should want to understand what you're building tools for * Comfort working across disciplines - researchers, creative professionals, and operators - and translating between very different ways of thinking ## Description The best platforms don't just support a workflow - they transform who can participate in it. At Sesame, we're building lifelike, compelling characters. That quality doesn't come from models alone. It comes from tight collaboration between engineers, ML researchers, and the creative professionals who define what a believable character is. This is a full-stack engineering role focused on the internal tooling and platforms that power our character research pipeline. We're looking for engineers who are excited to build the systems that enable and accelerate that collaboration. You'll architect and develop the internal platforms that take our team from raw data to fully-realized characters - evaluating quality and iterating cross-functionally through a React-based frontend atop a Python/FastAPI backend, backed by cloud ML infrastructure. The goal isn't just to support what we're doing today; it's to build a platform where our creative and research teams can experiment, iterate, and push the frontier of what's possible in character AI., * Design and build internal tools that let engineers, researchers, and creative professionals experiment with and assemble configurations of models - importing datasets, running training jobs, evaluating outputs - without needing to write code for every workflow * Build rich evaluation interfaces that surface model quality in ways that are readable and actionable for everyone, not just engineers * Collaborate closely with ML researchers and creative teams to deeply understand their workflows, then find the automation opportunities that accelerate their work * Take responsibility for the reliability and evolution of the tooling platform: monitoring, iterating on user feedback, and raising the ceiling of what's possible as the team's needs grow * Contribute to ML infrastructure where it connects to tooling - you'll understand the pipeline well enough to know what to expose, what to abstract, and what to automate ## Related Videos - [It's a Great Time to be a Builder: Leveraging AI for Good](https://www.wearedevelopers.com/videos/100042-it-s-a-great-time-to-be-a-builder-leveraging-ai-for-good) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Watch Tests Go Brrrr! : Getting Started with Cypress in ReactJS](https://www.wearedevelopers.com/videos/282-watch-tests-go-brrrr-getting-started-with-cypress-in-reactjs) - [GraphQL + Apollo + Next.js: A Lovely Trio](https://www.wearedevelopers.com/videos/311-graphql-apollo-next-js-a-lovely-trio) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean) ## Related Articles - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Dev Digest 129 - Now that's what I call private data!](https://www.wearedevelopers.com/magazine/468-dev-digest-129-now-that-s-what-i-call-private-data) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this) - [Dev Digest 122 - Cracks in the polyfill](https://www.wearedevelopers.com/magazine/457-dev-digest-122-cracks-in-the-polyfill) - [Dev Digest 130 - The Diablo is in the details](https://www.wearedevelopers.com/magazine/470-dev-digest-130-the-diablo-is-in-the-details)