Company: Hypefy
Location: On-site/Hybrid (Zagreb)
Type: Full-time
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.
You’ll build and evolve core product features across backend and frontend, with direct exposure to AI workflows, campaign automation, and scaling infrastructure.
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
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
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)
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.
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
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
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
Intro call (context + expectations)
Live interview
Offer