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# Founding Full-Stack Software Engineer

- **Company:** Clipbook Inc
- **Location:** New York, NY, United States
- **Experience:** Experienced
- **Salary:** $150,000.0 - $220,000.0
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), Artificial Intelligence, Amazon Web Services, Computer Vision, Software Documentation, Software Quality, Data Architecture, Information Engineering, Web Scraping, Data Normalization, Distributed Systems, Design of User Interfaces, Human-Computer Interaction, Python (Programming Language), Node.Js, NoSQL, Software Architecture, Cloud Services, Next.js, Search Technologies, Software Engineering, SQL Databases, TypeScript, ReactJS, Retrieval-Augmented Generation, Transfer Learning, Delivery Pipeline, Large Language Models, Puppeteer (Software), Backend, Containerization, Stripe, Playwright, Graphql, Web Technologies, Machine Learning Operations, Front End Software Development, Api Design, Api Management
- **Published:** November 3, 2026
- **Apply:** https://www.careerbuilder.com/job-details/founding-full-stack-software-engineer-new-york-ny--7c717fa8-6fbc-4951-8ace-de2f879de431

## About the Role

Software Engineering, Public/Media/Press/Analyst Relations, Public Affairs, Artificial Intelligence (AI), Audiovisual, Government, Startup, Amazon Web Services (AWS), Architectural Services, User Interface/Experience (UI/UX), * 2-10+ years of relevant engineering experience at tech and product-driven companies. You've taken systems from zero to production and owned the full lifecycle.

 * Proficiency with web technologies (Next.js, JavaScript/TypeScript, React, etc.)
 * Genuine excitement to build quickly & ship fast. We care about getting things into users' hands and iterating from there.
 * Deep knowledge and practical experience with cloud-based services, containerization, and API development.
 * Experience optimizing data architectures for performance and cost.
 * You take ownership. When something is broken or unclear, you fix it or flag it without waiting to be asked.
 * Comfortable with ambiguity. You make reasonable calls with incomplete information, communicate them clearly, and adjust as you learn more.
 * Strong product sense and bias for action. We're a small team and can't afford analysis paralysis - we make decisions with incomplete information and learn from real customer feedback.
 * A future leader. You'll help shape our engineering culture and can quickly grow into engineering leadership as the company scales., + LLM fine-tuning, RAG, RLHF, or eval pipelines
 + Computer vision or multimodal model experience (audio, video, image)
 + Semantic search, vector databases, or meaning-aware retrieval
 + Familiarity with web scraping frameworks (Playwright, Puppeteer) and different types of API integrations (REST, GraphQL)
 + Comfort with asynchronous workflows, rate-limiting, and distributed systems
 * Startup founder or early-stage experience is a huge plus.

## Description

You'd be one of the first engineers at Clipbook - joining a small but mighty engineering team with engineers from Meta, Stripe, and AWS. You'll have real influence over architecture and technical direction, and what you build will ship to 200+ customers quickly., * Architect & build across the stack. Make architectural decisions and implement solutions across the stack (Next.js, TypeScript, React, Python, Node, SQL/NoSQL). You have the conviction to quickly build from concept to deployment to seeing clients love our product.

 * Collaborate with customers. Work directly with users to understand pain points, join calls, hear what's working and what isn't, and rapidly iterate to deliver solutions that matter.
 * Tackle a wide breadth of engineering challenges. Our work spans AI, data engineering, backend, frontend, and more - so there's plenty of opportunity to find projects that match your strengths and interests. Some examples include:
 + AI/ML Integration: Productionize LLMs and classical ML models for real-world, high-uptime applications - including prompt execution, embeddings, RAG pipelines, and agentic systems. Leverage the latest in generative AI tooling and frameworks.
 + Data Engineering: Build pipelines and infrastructure for ingesting, normalizing, and querying massive, multi-modal datasets (text, audio, video).
 * Shape Clipbook's engineering culture. As one of the first engineers, you'll influence everything - code quality, system design principles, documentation standards, testing, deployment, and how we build as a team. You'll mentor future hires and drive best practices. We believe leaders stay hands-on: even as we grow, everyone (including managers) continues to ship.