AI Engineers

AI Engineer
Remote
September 18, 2026
Full Time
Application ends: December 17, 2026
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Job Description

 Summary: The AI Engineers are responsible for owning application delivery end to end in an AI-delegated development model. This role is accountable for ensuring that software solutions are correctly implemented, operationally ready, and aligned to business intent across application code, infrastructure, CI/CD, and observability. The Engineer directs AI coding agents to generate and evolve technical solutions while critically evaluating their output for correctness, completeness, maintainability, architectural alignment, and production fitness. This role is not centered on manual code production. Instead, it is centered on engineering judgment. The AI Engineer translates business and technical requirements into precise implementation instructions, defines constraints and validation mechanisms, identifies specification gaps, and ensures that generated output honors domain rules and operational expectations. This role develops solutions that are robust, scalable, observable, and highly operable while driving continuous improvement in AI-assisted delivery practices.

Requirements

  • 10+ years – Professional software engineering experience across application design, implementation, delivery, and support
  • 10+ years – Experience reviewing and validating code and technical artifacts against complex business rules and operational requirements
  • 7+ years – Experience with modern application development using C#/.NET and related backend technologies
  • 5+ years – Experience with React or similar modern frontend frameworks for workflow-driven or administrative applications
  • 5+ years – Experience with infrastructure as code, including Terraform module design, state management, and drift control
  • 5+ years – Experience designing and maintaining CI/CD pipelines in platforms such as Azure DevOps, GitHub Actions, or similar
  • 5+ years – Experience with observability practices including structured logging, metrics, tracing, dashboards, alerts, and SLOs
  • 5+ years – Experience working with relational and NoSQL data technologies, including SQL Server or PostgreSQL and modern NoSQL patterns for scalable application design
  • 3+ years – Experience with containerized deployment models, including Docker, Kubernetes, and Helm

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