Senior Product Engineer, Fullstack

About the Role

Together AI's product is what developers touch every day — Playground, Model Garden, Fine-Tuning, File Management, Batch Processing, Model Evals. These surfaces are how users experience the platform, and they need to be fast, intuitive, and something developers genuinely love using. That's what this role is about.

We're growing the Product Engineering team and looking for a fullstack engineer who's motivated by shipping things users genuinely value — not features that just look good in a slide deck. You'll plug directly into new and existing workstreams and start shipping quickly, working across our core product surfaces to improve existing capabilities and build new ones.

This is a high-ownership role on a small, fast-moving team, where one strong engineer moves the needle visibly. You'll see your work in production, instrument and measure it, and use that to shape what comes next.

Responsibilities

• Ship improvements and new capabilities across Together AI's core product surfaces — Playground, Model Garden, Fine-Tuning, File Management, Batch Processing, and Model Evals

• Own projects and features end-to-end, from data model and API integration through the user interface

• Collaborate closely with other engineers to build clean, typed, reusable interfaces in our web application

• Instrument and measure what you ship — add product analytics, monitor system health, and prove users are getting value with data

• Work across design, product, and engineering to ship things that unlock user value

• Raise the bar on frontend and fullstack quality across the team through code review and collaborative architecture decisions

Requirements

• 4–7 years of experience building and shipping real product to real users

• Strong JavaScript/TypeScript fundamentals; TypeScript experience highly valued

• Strong React expertise in a large-scale, production environment

• Full-stack fluency: you connect the dots from data model to API design to state management to the UI, and know how to make the right call at each layer in service of clean, maintainable code and an intuitive user experience

• A pragmatic approach to engineering — you know when to move fast and when to slow down, and you make that call based on user value

• Curiosity about AI and LLMs — you want to understand the models and products you're building on top of, not just the code around them

• Adept at building and improving agentic workflows, with good judgment for when to lean on AI and when not to

• Cross-functional "we ship it" mentality — no narrow ownership, no finger-pointing