Applied AI Engineer

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DoiT International

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2014

☁️ SaaS

SaaS • Cloud Services • Consulting

DoiT International is a cloud services company that provides comprehensive solutions for managing and optimizing cloud infrastructure across multiple platforms such as AWS, Google Cloud, and Microsoft Azure. Their services include cloud cost management, workload intelligence, automation, and consulting. DoiT International helps businesses optimize their cloud environments, improve performance, and enhance security through a combination of advanced technology and expert consulting.

📋 Description

• 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

• Typically 3-9 years of professional software engineering experience • 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

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