Hiring.Camp

AI Product Engineer (Backend, Node.js)

Smeetz

·
Location
Algeria · published · Egypt · Tunisia
Type
Full-time
Department
Engineering
Source
Workable

Description

Smeetz is an AI-powered unified commerce platform for the European leisure and entertainment industry. Theme parks, family entertainment centres, museums, zoos, and theatres run their ticketing, seating, F&B, and payments on us.

This role owns the backend of our two AI surfaces: the Smeetz MCP server and the AI chatbot. Both are backend services at heart, made of APIs, integrations, and agent logic sitting on top of our commerce platform. Expect to spend about 70% of your time on backend engineering (building, scaling, and running these services in production) and about 30% on the product side (understanding how venues use them, shaping what gets built next, and measuring whether it worked).

You report to the VP of Engineering and have no direct reports.

Key responsibilities

Backend

  • Own the backend of the Smeetz MCP server and AI chatbot end to end, covering the services, the tool surface, the agent logic, and the guardrails on what they are allowed to do.
  • Design and build the APIs and integrations that connect our AI surfaces to the Smeetz platform (ticketing, bookings, payments) with the security, performance, and reliability that production commerce requires.
  • Own reliability and performance, covering latency, error rates, cost per call, and the call patterns clients actually generate. You get full observability data (Langfuse) and the mandate to act on it.
  • Build the eval layer so prompt and model changes are measured before they ship, not after a customer notices.
  • Participate in on-call for the services you own.

Product

  • Work with the product owner and venue-facing teams to understand how operators use the AI surfaces, and turn that into technical specs and priorities.
  • Read traces and usage data to spot what is breaking or missing, and propose what to build next.
  • Define success metrics for what you ship and report back on them.
  • Document the surfaces you own so the next engineer can work on them without you in the room, and extend our shared Claude Code skill library.

Benefits

A published dual career ladder. Grow to Staff AI Product Engineer without becoming a manager, on pay bands comparable to the management track.Full ownership of two AI surfaces that are core product, not a side project.Direct contact with the venue operators who use what you build.Modern AI-native tooling: Claude Code with a shared internal skill library.Fully remote position.Competitive salary based on experience. Band to confirm.

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