Hypefy's avatar

Mid/Senior Full-Stack Developer (Node.js / React)

Hypefy's avatar
Hypefy

Mid/Senior Full-Stack Developer (Node.js / React)

We are expanding our development team, looking to scale Hypefy

Good To Know

Due DateFeb 9th

About Hypefy

HYPEFY is an AI-driven platform that bridges the gap between brands and influencers, making it easy for businesses to launch and manage Instagram and TikTok marketing campaigns automatically. Our mission is to empower brands with data-driven strategies, streamline influencer partnerships, and achieve impactful results with minimal effort. Join us as we reshape the future of influencer marketing!

Company: Hypefy
Location: On-site/Hybrid (Zagreb)
Type: Full-time

Intro

Hi - we’re Hypefy, a Croatian-based start-up.

We’re building AI agents that run influencer marketing end-to-end: campaign creation, creator selection, outreach, content checks, payments, reporting - all automated, all at scale.

We want to make influencer marketing so efficient that spending your budget anywhere else stops making sense.

This is already live, used by real brands and creators across more than 35 countries. Now we want to scale globally, and we need another strong engineer to help us get this right.


What you'll work on

You’ll build and evolve core product features across backend and frontend, with direct exposure to AI workflows, campaign automation, and scaling infrastructure.

Backend (Primary Focus)

  • Design, build, and maintain backend services using Node.js

  • Take features from idea → production → monitoring → iteration

  • Architect and operate background job systems (queues, workers, retries, fallbacks, failure handling)

  • Ship AI-driven features with strong guardrails: schema validation, retries, and safe fallbacks

  • Integrate, harden, and monitor third-party services for reliability and scale

  • Make MongoDB fast and predictable through good data models and indexing

  • Use Redis / BullMQ for queues, caching, rate limits, and transient state

Frontend

  • Build and refine UI features for both mobile and web (React)

  • Surface system state clearly (background jobs, AI progress)

  • Collaborate closely with design and product on usability for complex workflows

Platform & Reliability

  • Improving observability (logs, metrics, traces) so debugging doesn’t feel like guesswork

  • Contribute to scalability initiatives (regional deployments, throughput improvements)

  • Participate in incident response and postmortems

  • Help automate operational workflows (payments, reconciliation, support tooling)


How We Work

  • Small, senior-leaning engineering team

  • High ownership, low bureaucracy

  • You’ll talk directly with product and founders

  • We utilize a lot of AI coding tools for code reviews, small features/bugfixes etc.


What We’re Looking For

Required

  • Strong Node.js experience

  • Experience with Frontend JS frameworks

  • Comfort with async systems, background jobs, and failure scenarios

  • Comfortable owning features end-to-end (backend + frontend integration)

  • Comfortable making technical and product decisions (in line with established standards) with incomplete information, without needing every detail handed to you

  • Comfortable using technical debt intentionally, and disciplined about cleaning it up

  • Experience working with production systems that handle real users and failures

  • Some experience with MongoDB (schema design, indexing, performance)

  • Clear communication and strong ownership mindset

Nice to Have

  • Experience in React

  • Experience with AI / LLM integrations and libraries in production

  • Experience utilizing advanced AI coding workflows

  • Prior work in SaaS, marketplaces, or workflow-heavy platforms


Why Join Hypefy

  • You’ll work on complex, sometimes messy systems, and help make them better

  • Small, agile engineering team where input is not only allowed, but expected

  • Pragmatic engineering culture

  • Work on a real AI product, that aren't just a bolt-on, used in live customer workflows

  • Direct impact on architecture and scaling decisions


Interview Process

  1. Intro call (context + expectations)

  2. Live interview

  3. Offer