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AI - Full Stack Developer

Role overview

Summary

This role focuses on building and maintaining integrations between various systems and AI/ML services. You will work on developing full stack product features and designing automation workflows, contributing to the efficiency of internal processes.

Qualifications

  • BS in Engineering or Computer Science.
  • Comfortable across the stack: backend language (Python, Node.js, or similar), frontend framework (React, Vue, etc.), and SQL.
  • Experience connecting systems via REST APIs, webhooks, or message queues.
  • Preferred: Systematic, structured thought process.
  • Preferred: Familiarity with Git and basic CI/CD concepts.

Responsibilities

  • Build and maintain integrations between internal systems, third-party APIs, and AI/ML services in production
  • Design automation workflows that reduce manual processes
  • Develop full stack product features from frontend to API to database

Key facts

Hard skills

Other skills

  • Analytical Thinking

About the company

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Natobotics

  • IT Services & Consulting
  • Unknown
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Job description

Role: AI - Full Stack Developer 

Type: Contract

Location: Poland

Job Spec:

Responsibilities: 

  • Build and maintain integrations between internal systems, third-party APIs, and AI/ML services in production Design automation workflows that reduce manual processes (data pipelines, scheduled jobs, event-driven triggers) 
  • Develop full stack product features — frontend to API to database — with a focus on reliability and clean system boundaries 
  • Qualifications (purposefully light) BS in Engineering or Computer Science Comfortable across the stack: backend language (Python, Node.js, or similar), frontend framework (React, Vue, etc.), and SQL Experience connecting systems via REST APIs, webhooks, or message queues Systematic, structured thought process Familiarity with Git and basic CI/CD concepts and how AI-powered browser automation works [Phone Screen] 2 hard requirements to screen for when meeting them: 
  • Have they built and maintained production integrations where multiple systems depend on each other, and had to handle what happens when things break? Please capture experiences with real multi-system wiring (APIs, databases, third-party services) and the complexity of their failure handling. 
  • Integration pain (retries, data consistency, timeouts, race conditions) takes precedence over standalone app experience This aims to eliminate candidates who have only built isolated CRUD applications. 
  • We need someone who’s lived the messy reality of systems that depend on each other How are they currently using AI coding tools, and what was their experience when they noticed a weakness and how did they go about it. Please screen for lack of excitement and very generic, vague answers. Integration and automation work is disproportionately boilerplate and API wiring — exactly where AI tools provide the biggest lift. We need someone who leans into this.

Note: No sponsorship Provided

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