Junior Engineer

Steven.com; Greater London; On-site; GBP 50,000 - 80,000; Full time

Job summary

Steven.com is building the operating system for the creator economy. We’re looking for engineers who think like founders and ship features end-to-end across frontend, backend, and infrastructure.

You will own production systems, prototype rapidly, and apply AI/ML to create smarter product experiences. Ideal candidates have self-directed portfolios or 1–3 years of professional experience, with a passion for experimentation and high-quality code.

Qualifications

• Own outcomes and ship features with autonomy.
• Demonstrate initiative and founder-like thinking.
• Maintain high code quality and documentation.

Responsibilities

• Design and implement end-to-end product features across frontend, backend, and infrastructure.
• Prototype quickly, run experiments, and improve core metrics.
• Own production systems, including debugging and performance tuning.
• Leverage AI/ML tools to create intelligent product experiences.

Skills

Ownership mindset

Bias toward action

Attention to detail

Curiosity

Tools

GitHub

LLM APIs

Job description

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


• 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.

ROLE MISSION

An exciting role for someone who already builds in their own time and thinks like a founder, not an intern. Ship features that directly hit users, with a level of ownership and autonomy most junior engineers don't see for years. Work across internal products, external production, and the occasional moonshot.

KEY OUTCOMES

• 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

CORE COMPETENCIES

• 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

YOU’LL THRIVE HERE IF

• You take ownership of outcomes, not just tasks


• You have a bias toward action, ship fast, and iterate rather than wait for perfect information


• Ambiguity and shifting priorities don't throw you off


• You hold high attention to detail and quality, even moving at speed


• You think like a mini-founder: curious, proactive, genuinely invested in the mission

IDEAL BACKGROUND

• 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