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Senior AI Full-Stack Developer

LinkedIn Brooksource Tampa, FL
Not Applicable Posted April 5, 2026 Job link
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Requirements
  • Implement persistence strategies using Cosmos DB, SQL Server, Blob Storage .
  • 8+ years of experience in software development and delivery.
  • 1+ year of experience in a leadership or managerial role.
  • Strong written and verbal communication skills in English.
  • Deep expertise in:
  • C#, .NET Core / .NET 6+ , ASP.NET
  • Azure Cloud Services (App Services, Functions, API Management)
  • SQL Server and NoSQL databases (CosmosDB, MongoDB, etc.)
  • REST APIs , microservices architecture
  • Software design patterns (MVC, MVVM, etc.)
  • Hands-on experience with:
  • CI/CD pipelines
  • GitHub / GitHub Actions
  • DevOps tools and practices
  • Ability to manage delivery within a global, matrixed organization.
  • Hands-on experience leveraging AI-enabled development tools (GitHub Copilot, Cursor, OpenAI Codex, Claude Code, Gemini CLI, etc.) in production environments.
  • Demonstrated experience designing, launching, and guiding AI agents or multi-agent workflows to:
  • Generate and refine technical specifications
  • Perform AI-assisted code reviews
  • Identify and reduce technical debt
  • Accelerate feature delivery and improve engineering efficiency
  • Experience defining context, prompts, and guardrails to ensure reliable AI-generated outputs within enterprise environments.
Preferred Skills
  • Experience defining context, prompts, and guardrails to ensure reliable AI-generated outputs within enterprise environments.
  • Bachelor’s or Master’s in Computer Science, Engineering, or related field.
  • Experience with Docker, Kubernetes , or container orchestration.
  • Experience deploying systems at global scale or in localized environments.
  • Familiarity with Agile, Lean, and Scrum methodologies.
  • Strong communication and stakeholder engagement skills.
  • Ability to translate business needs into scalable engineering solutions.
  • Passion for mentoring and developing engineering talent.
  • Ownership mindset across the full product lifecycle.
  • Proven success delivering enterprise applications at scale.
  • Experience with emerging AI frameworks, development agents, and multi-agent orchestration platforms.
  • Demonstrated ability to evaluate and refine AI-generated code within enterprise environments.
Education
  • (Required) – Bachelor’s Degree required.
  • (Not required) – Bachelor’s or Master’s in Computer Science, Engineering, or related field.