CoLife, Inc. · 5 hours ago

Full-Stack Developer

San Francisco, CA

Full-time

Remote

Mid Level

Maximize your interview chances

AppsInformation Services

Insider Connection @CoLife, Inc.

Discover valuable connections within the company who might provide insights and potential referrals.
Get 3x more responses when you reach out via email instead of LinkedIn.

Responsibilities

Quickly assemble components using existing tools and platforms to validate concepts efficiently, prioritizing impact over building from scratch.

Define and implement the product’s tech stack and infrastructure, ensuring scalability and alignment with business goals.

Leverage cutting-edge technologies, including AI, Machine Learning (ML), and Large Language Models (LLMs), to develop automated workflows and enhance product features.

Collaborate with the studio team to assemble and lead a technical team as the product grows.

Work directly with non-technical founders to align technical execution with business objectives and market strategy.

Use user feedback to improve product features, optimize functionality, and prepare for scaling phases.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Full-Stack JavaScriptServer-side developmentAPI designAI IntegrationMachine LearningLarge Language ModelsWeb-based platformsPassion for Solving ProblemsCollaboration Skills

Required

Full-Stack Proficiency with JavaScript: We expect JavaScript to be the primary language used, but experience with other languages is beneficial. Bring experience across the full stack, with the role leaning 60% backend and 40% frontend, requiring strong skills in server-side development, API design, and integration with frontend frameworks.

Proven Ability to Build from 0 to 1: Creatively assemble and optimize tools and platforms to deliver impactful, scalable solutions.

Hands-On Experience: Build web-based platforms, ideally integrating AI, Machine Learning (ML), Large Language Models (LLMs), and a focus on automation.

Hacker Mindset with a Bias-to-Action: Take initiative, thrive on assembling components rather than building from scratch, and maintain a strong sense of ownership.

Collaboration Skills: Work effectively with non-technical founders, translating technical complexities into actionable solutions and aligning execution with business objectives.

Passion for Solving Big Problems: Thrive in ambiguity, adapt to a fast-paced environment, and navigate the challenges of startup life.