Software Engineer, Full Stack
Gamma · Remote
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Job details
- Work model
- Remote
- Salary
- Not listed by source
- Location
- Remote
- Occupation
- Software Developers(O*NET 15-1252.00)
What the role asks for
What you'd do
- Design and implement full-stack AI features using LLMs and image generation models
- Build, optimize, and evaluate AI workflows using Gamma's in-house JSX-based prompting framework
- Experiment with new models and providers to improve content creation quality, cost, and reliability
- Ship features that integrate cutting-edge AI into intuitive user experiences across millions of daily requests
- Collaborate with product and design to translate AI possibilities into polished, user-facing features
- Optimize AI performance and cost at scale, balancing quality with speed and reliability
What they're asking for
- 3+ years building production web applications with strong full-stack fundamentals, including proficiency in TypeScript, React, and Node.js (or similar)Experience
- Experience working with LLMs, prompt engineering, or AI/ML systems in production, with genuine curiosity about new models and capabilitiesSkill
- Familiarity with frontend engineering, state management, data models, and API designSkill
- Strong product sense, with the ability to translate technical AI capabilities into real user valueSkill
- A curious, self-driven mindset that matches your technical skillSkill
- Experience building AI-powered consumer products or working with image generation models (Nice to have)SkillPreferred
Parsed by MeritLog from the employer’s own posting. The full description follows below.
Job description
ABOUT THE ROLE You'll build the AI features at the heart of Gamma's content creation experience. That means designing and implementing full-stack features powered by LLMs and image generation models, crafting AI workflows that feel intuitive and magical to users, and pushing the boundaries of how we integrate the latest models into our product. You'll work across the entire stack, from prompt engineering to frontend integration, shaping how millions of people use AI to create presentations, documents, and websites. You'll partner closely with product, design, and engineering to turn AI capabilities into polished, delightful experiences that users reach for every day. Our team has a strong in-office culture and works in person 4–5 days per week in San Francisco. We love working together to stay creative and connected, with flexibility to work from home when focus matters most. WHAT YOU'LL DO - Design and implement full-stack AI features using LLMs and image generation models - Build, optimize, and evaluate AI workflows using Gamma's in-house JSX-based prompting framework - Experiment with new models and providers to improve content creation quality, cost, and reliability - Ship features that integrate cutting-edge AI into intuitive user experiences across millions of daily requests - Collaborate with product and design to translate AI possibilities into polished, user-facing features - Optimize AI performance and cost at scale, balancing quality with speed and reliability WHAT YOU'LL BRING - 3+ years building production web applications with strong full-stack fundamentals, including proficiency in TypeScript, React, and Node.js (or similar) - Experience working with LLMs, prompt engineering, or AI/ML systems in production, with genuine curiosity about new models and capabilities - Familiarity with frontend engineering, state management, data models, and API design - Strong product sense, with the ability to translate technical AI capabilities into real user value - A curious, self-driven mindset that matches your technical skill - Experience building AI-powered consumer products or working with image generation models (Nice to have) COMPENSATION RANGE: The base salary for this full-time position, which spans multiple internal levels depending on qualifications, ranges between $180K - $310K plus benefits & equity. Final offer amounts are determined by multiple factors, including but not limited to experience and expertise in the requirements listed above. If you're interested in this role but you don't meet every requirement, we encourage you to apply anyway! We're always excited about meeting great people.