Full Stack AI Engineer
Indexed description
We have raised $50 million in total funding and are fortunate to have some of the most supportive investors, including SoftBank Vision Fund, DCM Ventures, Millennium New Horizons, Fellows Fund, AI Grant, Jason Lemkin (SaaStr), Samsung Next, GTMfund, Alumni Ventures, and many more.
Check out our latest coverage by Business Insider featuring our product and funding milestones, and our recognition as one of The Information's 50 Most Promising Startups in 2024.
Headquartered In Mountain View, We Are a Team Of 100 Passionate And Experienced AI Enthusiasts And Video Experts, Driven By Our Core Values
- Be a Champion Team
- Prioritize Ruthlessly
- Ship fast, Quality Follows
- Obsess over customers
The Role
OpusClip is building the next generation of AI-native products — and we need someone who can keep up. We are seeking a Full-Stack AI Engineer who operates at the intersection of applied AI, product instinct, and architectural excellence. This is not a role for someone who waits for tickets. This is a role for a builder who thrives in zero-to-one environments, brings strong technical judgment to AI-generated codebases, and has the grit to ship something the world hasn't seen before.
The Mandate
- Architect the AI-Native Codebase: Take ownership of redesigning the structure of a fast-moving, AI-generated codebase. You will bring scalability, maintainability, and long-term thinking to a system built for speed — and make it production-ready.
- Strong Technical Judgment: Know when to hack and when to craft. You will make smart, opinionated decisions about architecture, tooling, and trade-offs — and bring the team along with you.
- Build Full-Stack, End to End: Own features from front-end (React) to back-end (Node.js, Django, Python), shipping prototypes to production fast and with quality to follow.
- Applied AI Engineering: Work hands-on with LLMs, AI agents, tool calling, and memory systems to solve real product challenges — not as a side task, but as the core of what you do.
- Shape the Product: Collaborate with product and marketing to define what gets built. You think about users and outcomes, not just code.
- The AI Architect: You have experience working on AI-native codebases — whether you came from a product or engineering background — and you know how to bring structure to chaos.
- The Full-Stack Generalist: You're comfortable across the entire stack. React on the front end, Node.js or Django on the back. You don't wait for someone else to own a layer.
- The Zero-to-One Builder: You've shipped products from scratch, ideally as a solo developer or in a very small team. You define your own scope and thrive in ambiguity.
- The Gritty Competitor: You resonate with a combat spirit to win. Speed is everything, and you treat shipping like a sport. (Watch the F1 movie. You'll get it.)
- The AI-Native Engineer: You use Cursor and other AI coding tools fluently — but you also know their limits and when human judgment has to lead.
- Multimodal AI Engineering (Video ML/Video AI)
- Background that blends product thinking with technical depth
- You prefer clearly defined scope handed to you
- You want to focus purely on coding without thinking about product or users
- You think vibe coding and production engineering are the same thing
- You don't use AI coding tools — or can't code without them
- TypeScript
- Python
- React
- Node.js
- Redis
- MongoDB
- Cloud Storage
- LLMs . AI Agents
Compensation Range: $220K - $270K
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