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Full Stack Software Engineer, AI Features at Skylight. At Skylight, we thrive on innovation and creativity, building products that bring families closer together. As a Full Stack Engineer within our Moonshots team, you'll be at the forefront of developing features that enhance user experiences across our platforms. This is a unique opportunity to work on both the frontend and backend aspects of our applications, contributing to a product loved by millions of users.. We're looking for a seasoned Full Stack Software Engineer (Senior, Staff, or Principal level) to work directly with our GM of New Businesses and our cofounder/CTO to build out new AI-powered features across our platform. You'll work primarily in Ruby on Rails and Typescript (React and React Native) to bring zero-to-one products to life by integrating with LLMs from vendors like OpenAI. You should bring deep expertise in both front-end and back-end technologies, with deep mastery of Typescript and at least a working knowledge of (and willingness to learn) Ruby on Rails.. Responsibilities. . Design, build, and launch new user-facing features powered by large language models (LLMs). . Own major product initiatives from zero-to-one, in partnership with a small but mighty team. . Collaborate deeply with Product and Design to shape new products and features. . Integrate with third-party APIs like OpenAI and explore new model capabilities. . Contribute to codebases in Ruby on Rails, Typescript, React, and React Native. . Write maintainable, high-quality code with strong test coverage. . Mentor other engineers through code reviews and design discussions. . . 6+ years experience building software products end to end. . Deep mastery of either Ruby on Rails or Typescript (React/React Native), and working fluency in the other. . Demonstrated ability to ship zero-to-one products as a solo engineer or team lead. . Experience working with LLMs or interest in developing Gen AI applications. . Clear communication and collaboration skills across disciplines. . Startup experience strongly preferred\. . Nice to Haves. . Experience with OpenAI, Anthropic, or similar LLM providers. . Familiarity with prompt engineering or retrieval-augmented generation (RAG). . Prior work on family-facing or consumer social products. . Company Location: United States.