Not Applicable
Posted April 5, 2026
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Responsibilities
Commitments
Responsibilities
- You will provide technical direction, mentor engineers, and lead the delivery of high-quality features.
- This role requires close collaboration with cross-functional teams, product owners, and senior leadership to enable business outcomes through modern engineering practices.
- Lead the design and development of scalable applications supporting global business platforms.
- Architect modern frontend and backend solutions using React, TypeScript, .NET, and Azure.
- Design and build microservices using ASP.NET Core / C# .
- Implement persistence strategies using Cosmos DB, SQL Server, Blob Storage .
- Develop and host services using Azure App Services, Azure Functions, API Management .
- Apply Domain Driven Design (DDD) and CQRS patterns to build maintainable, scalable systems.
- Integrate systems using REST APIs, Service Bus, and event-driven architectures .
- Champion secure coding practices, resilience, and performance at scale.
- Leverage AI-enabled development tools (e.g., GitHub Copilot, MCPs, AI coding agents) to enhance productivity, automate refactoring, and optimize code quality.
- Guide the adoption of multi-agent coding frameworks and AI-assisted development workflows to accelerate delivery with minimal manual intervention.
- Delivery & Execution
- Drive the consistent delivery of high-quality features through cross-functional collaboration.
- Translate business objectives into scalable technical solutions.
- Ensure CI/CD pipelines, version control, and automation are properly implemented.
- Lead delivery within Agile and DevOps environments with a focus on velocity and quality.
- Promote continuous improvement across engineering processes and architecture.
- Introduce AI-driven development practices, including spec-driven and test-driven development enhanced by AI tooling.
- Utilize AI-assisted testing tools such as Playwright, MS Test, Fluent, NUnit, K6, SpecKit, BMAD, etc. to expand automated test coverage and improve quality.
- Leadership & Team Development
- Provide technical leadership, coaching, and mentorship to engineers.
- Lead with clarity in fast-paced, ambiguous environments.
- Foster a culture of innovation, accountability, and continuous learning.
- Promote inclusive leadership across globally distributed teams.
- Partner with product and business leaders to align engineering strategy with organizational goals.
- Mentor developers on the effective use of AI development tools, prompt engineering, and best practices for evaluating AI-generated code.
- Build team competency around emerging AI frameworks, agent platforms, and next-generation CLI toolkits.
- Contribute thought leadership by introducing new ideas that improve development workflows, automation, and engineering standards.
Commitments
Senior AI Full-Stack Developer Contract to Hire Remote (Must reside in Atlanta, Dallas, or Tampa) Global Web Platforms & Enterprise Applications
Location
Remote role; candidates must be based in one of the following hub cities: Atlanta, Dallas, or Tampa
Ability to travel quarterly to one of the designated hub locations is required
Not Met Priorities
What still needs stronger evidence
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.
Senior AI Full-Stack Developer Contract to Hire Remote (Must reside in Atlanta, Dallas, or Tampa) Global Web Platforms & Enterprise Applications
We are seeking a highly motivated Senior AI Full-Stack Developer to drive the development of scalable, cloud-native applications supporting global business and enterprise technology platforms. This role is ideal for a hands-on technical leader who thrives in complex environments and can balance architecture, delivery execution, and people leadership.
You will provide technical direction, mentor engineers, and lead the delivery of high-quality features. This role requires close collaboration with cross-functional teams, product owners, and senior leadership to enable business outcomes through modern engineering practices.
This role requires experience with AI-enabled development tools and the ability to apply AI technologies to improve software delivery, testing, and engineering efficiency. Key Responsibilities Technical Leadership & Architecture
Lead the design and development of scalable applications supporting global business platforms.
Architect modern frontend and backend solutions using React, TypeScript, .NET, and Azure.
Design and build microservices using ASP.NET Core / C# .
Implement persistence strategies using Cosmos DB, SQL Server, Blob Storage .
Develop and host services using Azure App Services, Azure Functions, API Management .
Apply Domain Driven Design (DDD) and CQRS patterns to build maintainable, scalable systems.
Integrate systems using REST APIs, Service Bus, and event-driven architectures .
Champion secure coding practices, resilience, and performance at scale.
Leverage AI-enabled development tools (e.g., GitHub Copilot, MCPs, AI coding agents) to enhance productivity, automate refactoring, and optimize code quality.
Guide the adoption of multi-agent coding frameworks and AI-assisted development workflows to accelerate delivery with minimal manual intervention. Delivery & Execution
Drive the consistent delivery of high-quality features through cross-functional collaboration.
Translate business objectives into scalable technical solutions.
Ensure CI/CD pipelines, version control, and automation are properly implemented.
Lead delivery within Agile and DevOps environments with a focus on velocity and quality.
Promote continuous improvement across engineering processes and architecture.
Introduce AI-driven development practices, including spec-driven and test-driven development enhanced by AI tooling.
Utilize AI-assisted testing tools such as Playwright, MS Test, Fluent, NUnit, K6, SpecKit, BMAD, etc. to expand automated test coverage and improve quality. Leadership & Team Development
Provide technical leadership, coaching, and mentorship to engineers.
Lead with clarity in fast-paced, ambiguous environments.
Foster a culture of innovation, accountability, and continuous learning.
Promote inclusive leadership across globally distributed teams.
Partner with product and business leaders to align engineering strategy with organizational goals.
Mentor developers on the effective use of AI development tools, prompt engineering, and best practices for evaluating AI-generated code.
Build team competency around emerging AI frameworks, agent platforms, and next-generation CLI toolkits.
Contribute thought leadership by introducing new ideas that improve development workflows, automation, and engineering standards. Required Qualifications
Bachelor’s Degree required.
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 Qualifications
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. What Success Looks Like
Teams consistently deliver high-quality, scalable software.
Engineering is seen as a strategic enabler—not just a feature factory.
Architecture is modern, cloud-native, resilient, and performant.
Engineers grow through mentorship and strong leadership.
Stakeholders trust engineering as a long-term partner.
AI-assisted and agent-driven development measurably accelerates delivery velocity, improves code quality, and reduces technical debt across teams. Location
Remote role; candidates must be based in one of the following hub cities: Atlanta, Dallas, or Tampa
Ability to travel quarterly to one of the designated hub locations is required
We are seeking a highly motivated Senior AI Full-Stack Developer to drive the development of scalable, cloud-native applications supporting global business and enterprise technology platforms. This role is ideal for a hands-on technical leader who thrives in complex environments and can balance architecture, delivery execution, and people leadership.
You will provide technical direction, mentor engineers, and lead the delivery of high-quality features. This role requires close collaboration with cross-functional teams, product owners, and senior leadership to enable business outcomes through modern engineering practices.
This role requires experience with AI-enabled development tools and the ability to apply AI technologies to improve software delivery, testing, and engineering efficiency. Key Responsibilities Technical Leadership & Architecture
Lead the design and development of scalable applications supporting global business platforms.
Architect modern frontend and backend solutions using React, TypeScript, .NET, and Azure.
Design and build microservices using ASP.NET Core / C# .
Implement persistence strategies using Cosmos DB, SQL Server, Blob Storage .
Develop and host services using Azure App Services, Azure Functions, API Management .
Apply Domain Driven Design (DDD) and CQRS patterns to build maintainable, scalable systems.
Integrate systems using REST APIs, Service Bus, and event-driven architectures .
Champion secure coding practices, resilience, and performance at scale.
Leverage AI-enabled development tools (e.g., GitHub Copilot, MCPs, AI coding agents) to enhance productivity, automate refactoring, and optimize code quality.
Guide the adoption of multi-agent coding frameworks and AI-assisted development workflows to accelerate delivery with minimal manual intervention. Delivery & Execution
Drive the consistent delivery of high-quality features through cross-functional collaboration.
Translate business objectives into scalable technical solutions.
Ensure CI/CD pipelines, version control, and automation are properly implemented.
Lead delivery within Agile and DevOps environments with a focus on velocity and quality.
Promote continuous improvement across engineering processes and architecture.
Introduce AI-driven development practices, including spec-driven and test-driven development enhanced by AI tooling.
Utilize AI-assisted testing tools such as Playwright, MS Test, Fluent, NUnit, K6, SpecKit, BMAD, etc. to expand automated test coverage and improve quality. Leadership & Team Development
Provide technical leadership, coaching, and mentorship to engineers.
Lead with clarity in fast-paced, ambiguous environments.
Foster a culture of innovation, accountability, and continuous learning.
Promote inclusive leadership across globally distributed teams.
Partner with product and business leaders to align engineering strategy with organizational goals.
Mentor developers on the effective use of AI development tools, prompt engineering, and best practices for evaluating AI-generated code.
Build team competency around emerging AI frameworks, agent platforms, and next-generation CLI toolkits.
Contribute thought leadership by introducing new ideas that improve development workflows, automation, and engineering standards. Required Qualifications
Bachelor’s Degree required.
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 Qualifications
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. What Success Looks Like
Teams consistently deliver high-quality, scalable software.
Engineering is seen as a strategic enabler—not just a feature factory.
Architecture is modern, cloud-native, resilient, and performant.
Engineers grow through mentorship and strong leadership.
Stakeholders trust engineering as a long-term partner.
AI-assisted and agent-driven development measurably accelerates delivery velocity, improves code quality, and reduces technical debt across teams. Location
Remote role; candidates must be based in one of the following hub cities: Atlanta, Dallas, or Tampa
Ability to travel quarterly to one of the designated hub locations is required