EngineeringOn-site

Software Engineer, Full Stack

Gamma · On-site

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Last seen by MeritLog September 10, 2026Source: AshbySource version: ashby-public-job-posting-v1

MeritLog read this listing from Gamma's Ashby job board and last checked it on September 10, 2026.

Source: the employer's Ashby job board. Open the original listing for current details.

Job details

Work model: On-site
Salary: Not listed by source
Location: San Francisco
Occupation: Software Developers(O*NET 15-1252.00)

Hiring context

How this role compares at Gamma

Gamma has 32 live roles in MeritLog’s catalog across 8 job families, and 14 of them are in engineering. 0 of those listings publish a pay range, a disclosure rate of 0%.

Gamma concentrates this hiring in:

Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.

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.

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