AI Product Engineer, Backend, Node.js

🔥 4 minutes ago

🌐 Algeria, Egypt, +1 more countries – Remote

🇩🇿 Algeria – Remote 🇪🇬 Egypt – Remote 🇹🇳 Tunisia – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🔙 Backend Engineer

👻 Ghost score 13%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Smeetz

WebsiteLinkedInAll Job Openings

11 - 50 employees

💼 Consulting

📣 Marketing

✈️ Travel

Consulting • Marketing • Travel

Smeetz is a company that provides an AI-powered commerce intelligence hub designed to transform visitor attractions. They offer unified commerce solutions to simplify ticketing and in-store sales operations for amusement parks, zoos, aquariums, museums, heritage sites, and live venues. Smeetz helps businesses maximize sales and conversions through dynamic pricing and AI-based cross-selling strategies. Their platform also includes marketing intelligence to enhance visitor experiences with personalized offers and performance insights to optimize operations. Smeetz is trusted by various leading attractions to improve visitor management and increase revenue.

📋 Description

• Own the backend of the Smeetz MCP server and AI chatbot end to end, including services, tool surface, agent logic, and guardrails • Design and build APIs and integrations connecting the AI surfaces to the Smeetz platform for ticketing, bookings, and payments • Ensure production-grade security, performance, and reliability • Own reliability and performance metrics including latency, error rates, cost per call, and client call patterns • Use Langfuse observability data to identify and address issues • Build the evaluation layer so prompt and model changes are measured before release • Participate in on-call for owned services • Work with the product owner and venue-facing teams to understand operator usage and turn it into technical specifications and priorities • Analyze traces and usage data to identify failures or gaps and propose future work • Define success metrics and report on shipped outcomes • Document owned surfaces and extend the shared Claude Code skill library • Report to the VP of Engineering; no direct reports

🎯 Requirements

• 5+ years shipping production code, including 3+ years of backend engineering building and running production APIs • Node.js/TypeScript is strongly preferred • Solid backend fundamentals, including API design, data modelling, authentication and permissions, queues and async processing, and debugging under production load • Shipped at least one LLM-based feature to real users and worked on its backend side, including tool calling, structured outputs, cost and latency control, and production failure modes • Ownership of a production system, including on-call responsibilities • Daily use of Claude Code or an equivalent agentic environment beyond autocomplete • Comfortable talking to non-technical stakeholders and turning their problems into technical work • Fluent English • Nice to have: designing tool or API surfaces for agents • Nice to have: MCP specification knowledge beyond client usage • Nice to have: Anthropic Claude API and tool use • Nice to have: Langfuse or similar tools such as LangSmith, Braintrust, or Phoenix • Nice to have: evals and retrieval over a support knowledge base; Intercom Fin experience is relevant • Nice to have: agent guardrails with write access, including permissions, confirmation steps, prompt injection, and PII • Nice to have: product-engineering experience shaping priorities • French or German is nice to have • Personal attributes: owner, backend-first and product-aware, AI-native, measured, and writer

🏖️ Benefits

• A published dual career ladder; growth to Staff AI Product Engineer without becoming a manager, with 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