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DoiT International

Applied AI Engineer – Croatia

DoiT International

Applied AI Engineer at DoiT developing cloud integration solutions across Eastern Europe. Focused on building robust internal tools and leveraging AI for operational efficiency.

Posted 7/15/2026full-timeRemote • 🇭🇷 CroatiaMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in end-to-end product delivery, proficient in Python and Go for backend engineering, and skilled in TypeScript for frontend development. Capable of integrating third-party APIs and managing cloud infrastructure on GCP while ensuring security and leveraging AI tooling throughout the software development lifecycle.

Highest-signal resume keywords
End-To-End Product DeliveryBackend Engineering: Python/GoFrontend Engineering: TypeScript/ReactCloud Infrastructure: GCPAPI and Systems Integration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
PythonGoTypeScriptReactCloud RunGCPREST APIsOAuthEvent-Driven PatternsAI Tooling
Tools & Technologies
Pub/SubSecrets ManagementSOPSSecret Manager
Industry Keywords
Software EngineeringProduct DeliveryAppSec HygieneWorkflow AutomationBusiness Process Orchestration

Tech Stack

Tools & technologies
CloudGoGoogle Cloud PlatformPythonReactSDLCTypeScript

About the role

Key responsibilities & impact
  • Own internal tools end to end - from understanding the operational problem through design, implementation, deployment, and iteration.
  • Build across the stack as the product requires: Python/Go services on Cloud Run, TypeScript web apps and internal admin tools, event-driven integrations on Pub/Sub, and cloud infrastructure on GCP.
  • Integrate with third-party SaaS platforms and cloud APIs - handling REST, webhooks, OAuth, and event-driven patterns, including failures, retries, and schema drift.
  • Build and maintain workflow automation and business process orchestration as named, observable flows rather than logic buried in vendor scripts.
  • Use AI tooling effectively across the development lifecycle - spec, code, and review - directing Claude as a coding collaborator while owning the output.
  • Review AI-generated code before it ships for correctness, security, and type safety.
  • Operate what you ship: monitoring, reliability, cost, and failure modes in production.
  • Contribute to shared engineering standards, playbooks, and internal tooling.

Requirements

What you’ll need
  • Typically 3-9 years of professional software engineering experience. Experience is a signal, not a gate - we care more about what you've shipped and how you think.
  • End-to-end product delivery: you have shipped and operated production software with real users - not just features in isolation, but complete products from brief to deployment.
  • Backend engineering: proficient in Python or Go (or both); you can own a service from design to Cloud Run deployment.
  • Frontend engineering: proficient in TypeScript / React; comfortable building UI-complete features such as internal dashboards or admin tools.
  • Cloud infrastructure: you deploy and operate on GCP and understand IAM, secrets management, Cloud Run, and deployment pipelines.
  • API and systems integration: you have connected multiple third-party platforms in production - REST APIs, webhooks, OAuth flows, event-driven patterns - and know how to handle failures, retries, and schema drift.
  • Security baseline: no hardcoded credentials; you use secrets management (SOPS, Secret Manager, or equivalent); no PII in logs; solid AppSec hygiene.
  • AI in the development lifecycle: you use AI tooling (Claude Code or equivalent) actively across the full SDLC, review AI-generated output critically for correctness, security, and type safety, and can direct AI on multi-step implementation tasks while owning the result.

Benefits

Comp & perks
  • Unlimited PTO
  • Flexible Working Options
  • Health Insurance
  • Parental Leave
  • Employee Stock Option Plan
  • Home Office Allowance
  • Professional Development Stipend
  • Peer Recognition Program