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Smeetz

AI Product Engineer, Backend, Node.js

Smeetz

. Own the backend of the Smeetz MCP server and AI chatbot end to end, including services, tool surface, agent logic, and guardrails .

Posted 9/29/2026full-timeRemote • Algeria, Egypt, TunisiaMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in backend engineering with a focus on API design, production systems, and performance metrics. Proficient in using observability tools to enhance system reliability and security while effectively communicating technical specifications to non-technical stakeholders.

Highest-signal resume keywords
Backend EngineeringAPI DesignNode.js/TypeScriptProduction System OwnershipLangfuse Observability

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
API DesignData ModellingAuthentication and PermissionsQueues and Async ProcessingDebugging Under Production LoadLLM-Based Feature DevelopmentPerformance MetricsCost ControlLatency ControlProduction Failure Modes
Soft Skills
Communication with Non-Technical StakeholdersOwnershipProduct AwarenessMeasured ApproachWriting Skills
Tools & Technologies
Claude CodeLangfuseAnthropic Claude APIIntercom FinLangSmithBraintrustPhoenix
Industry Keywords
Production CodeOn-Call ResponsibilitiesMCP Specification KnowledgeAgent GuardrailsPrompt InjectionPII Management

Tech Stack

Tools & technologies
JavaScriptNode.jsTypeScript

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 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

Comp & perks
  • 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