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AI Full Stack Developer

Skills
.NET FrameworkFull-Stack DevelopmentReact.JsTypescriptAI AdoptionAI Software DevelopmentArtificial Intelligence
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • Bachelor’s degree in Computer Science Software Engineering or related technical discipline or equivalent practical experience
  • 7+ years of professional software engineering experience delivering production-grade applications and services
  • Advanced proficiency with JavaScript and TypeScript
  • Strong experience building modern applications using React or similar frontend frameworks
  • Experience developing backend services using object-oriented programming concepts and modern software design patterns
  • Strong understanding of API development distributed systems service-oriented architecture and scalable application design
  • Experience with event-driven architectures asynchronous processing messaging platforms or CQRS-style patterns preferred
  • Hands-on experience with cloud technologies CI/CD pipelines infrastructure automation and DevOps best practices
  • Demonstrated use of AI-assisted development tools coding agents workflow automation platforms or prompt engineering techniques
  • Proven ability to lead technical initiatives evaluate architectural tradeoffs and drive solutions to production
  • Strong written and verbal communication skills for technical and non-technical collaboration

Nice to have

  • Senior-level
  • Highly autonomous
  • Collaborative
  • Innovative
  • Detail-oriented
  • Mentoring mindset

Day to day

  • Design and build shared platform capabilities reusable libraries and engineering frameworks that support multiple product teams
  • Develop modern web applications and user experiences using JavaScript TypeScript React and related frontend technologies
  • Build backend services and scalable integrations using object-oriented design distributed systems and event-driven patterns
  • Champion AI-powered development tools automation and modern engineering workflows to improve velocity quality and platform adoption