Junior Software Engineer

FlightStoryLos Angeles, CA
Onsite

About The Position

Steven.com is building the operating system for the creator economy, forecast to pass a trillion dollars by the early 2030's. This industry is currently held back by fragmented tools and a lack of professional infrastructure. Steven.com is the unlock. We are the end-to-end Operating System designed to scale what is irreplaceably human. 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 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.

Requirements

  • Proficient in modern full-stack development: TypeScript, React, Node.js, Python, JavaScript
  • Familiar with databases (SQL and NoSQL) and API design
  • Comfortable working across the stack: frontend, backend, and infrastructure
  • Some exposure to, or genuine interest in, AI/ML systems and LLM-based applications
  • One to three years of professional experience, or a portfolio of self-directed projects that proves the same capability

Nice To Haves

  • GitHub repos, a personal site, or end-to-end projects you've built independently
  • Open source contributions or active participation in developer communities
  • Exposure to early-stage startups, hackathons, or your own technical ventures
  • Academic or self-directed study in CS, maths, or a related technical field
  • Real experience with, or strong interest in, machine learning, LLMs, or applied AI

Responsibilities

  • Design, build, and ship end-to-end product features across frontend, backend, and infrastructure
  • Prototype quickly, run experiments, and move core product metrics
  • Own systems in production, including debugging, performance, and reliability
  • Use AI/ML tools and LLM-based APIs to build intelligent product experiences
  • Contribute to engineering culture through code quality, documentation, and active review participation
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