Principal Fullstack Engineer
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Role details
Tech stack
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Job description
We have built proprietary technology and obsessed teams to identify and scale the highest-potential creators across our core pillars:
- Creator Media: Amplifying reach, influence, and trust
- Creator Community: Transforming audiences into connected tribes
- Creator Products: Providing creators with the infrastructure to build and back aligned products and ventures
- Powered by Creator Tech & Intelligence: A proprietary data and technology suite that fuels smarter decisions and drives innovation across the entire flywheel.
Powering all of it is Steven.com’s Innovation and Technology Organisation (ITO). We are building proprietary AI infrastructure, developing consumer and enterprise digital products, and creating the data and intelligence layer that drives smarter decisions across the business. Each pillar feeds the next. The result is a flywheel that compounds over time and bets on human creation at its core., * Own the architecture of Steven.com’s most complex systems, from design through production and long-term evolution
- Set the engineering standards, patterns, and abstractions the rest of the team builds on
- Architect the AI-native core of the product: LLM-powered workflows, intelligent pipelines, and agentic systems that don’t exist yet
- Make the final call on high-stakes design decisions and catch systemic risk before it becomes debt or downtime
- Mentor senior and junior engineers, raise the bar through code review and architectural conversation
- Turn ambiguous product bets into concrete technical plans with clear tradeoffs, working directly with CITO, VP Eng, and Product
Requirements
- Track record of designing and shipping complex, large-scale distributed systems in production, not just contributing to someone else’s
- Deep full-stack proficiency: TypeScript, React, Node.js, Python, and Google Cloud/AWS
- Real experience architecting AI/ML systems, LLM applications, or intelligent pipelines at production scale
- Comfortable reasoning across levels of abstraction at once, from API design to infrastructure to product
- Sharp written communication, documentation a team can build from and an exec can understand, * Founding engineer, staff engineer, or technical lead at a startup or high-growth company
- CS or ML research background with production research experience
- Published research, open source work, conference talks, or other visible engineering community contribution
- We care less about titles, years, and pedigree, and more about the systems you can point to and defend end to end
Benefits & conditions
- You see the whole system and never touch a component without understanding what it’s connected to
- You reason from first principles, not analogy, and you’ll challenge inherited architecture if the foundations are wrong
- You know when to be precise and when to be fast, and you make that call on purpose
- You have a real point of view on where AI infrastructure is heading
- You treat architectural decisions as close to permanent, so you document them properly and don’t make them lightly
- You’re intellectually honest: you push back early, surface problems fast, and change your mind when the evidence says to
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