Founding Full-Stack Software Engineer

- 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.

- 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.

- Experience with any of the following:

- 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.

We're hiring across the full stack with a focus on building product. This probably isn't the right fit if your background is primarily in firmware, embedded systems, hardware engineering, networking, or infrastructure/DevOps.

- We care more about what you ship than when or where you work, but this is an early-stage company growing fast. The pace reflects that. Our culture is intense and driven by H&H (hunger and hustle).

- As one of the first engineers, you'll wear a lot of hats. There's no platform team to hand things off to yet.

- Salary: $150K-$220K

- Equity: Early-stage grant with significant upside

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Growth: A clear path to engineering leadership as we scale