Level

GammaPosted 10mo ago

Software Engineer, Full Stack

Software Engineer, Full Stack at Gamma scores 66 out of 100 on AI centrality, which makes it AI Level 3 of 4 (Works on AI) on this board. The level measures how much of the work is AI, not seniority.

San FranciscomidFullTime

AI in this role

prompt-engineering
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.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Prompt Engineering

Questions you could be asked

  1. How do you structure and test a prompt to get consistent output from a language model?
  2. Describe a typical day in a role like this one: which parts run through AI directly?
  3. If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

  • List these exact terms on your resume: Prompt Engineering. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

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