Lead AI-Native Software Engineer

This is a fully remote position, open to applicants in Ireland.

📋 Description

• Design, implement, test, review, and release changes to existing enterprise applications with agent assistance.

• Develop reusable agent instructions, tools, context pipelines, execution loops, and feedback mechanisms.

• Modify agent workflows to align with established .NET services, legacy code, databases, integrations, and build pipelines.

• Link agent output to unit tests, integration tests, end-to-end tests, code reviews, security scanning, build pipelines, and release criteria.

• Enforce least-privilege permissions, utilize approved tools and models, secure environments, manage sensitive data controls, ensure traceability, and establish human approval points.

• Establish practical workflows to understand, modify, test, and maintain existing systems without interfering with ongoing project commitments.

• Utilize GitHub Copilot and approved agentic tools within .NET, Azure, SQL, and existing Git repositories, integrating with Azure DevOps, GitHub Actions, and current delivery pipelines.

• Collaborate with developers, demonstrate techniques, review changes generated by agents, and create succinct playbooks.

• Articulate opportunities, limitations, risks, and technical choices to developers, engineering leaders, security teams, and client decision-makers.

• Assess delivery speed, rework, escaped defects, engineering effort, reliability, and cost.

• Assist 8 West Consulting in developing practical, repeatable agent-driven engineering workflows for client projects and existing applications.

⛳️ Requirements

• Proven personal experience in shipping and supporting production software through agentic coding workflows, characterized by rigorous verification, release controls, and operational outcomes.

• Hands-on experience in building and deploying AI-driven development workflows for existing production applications, including legacy code, incomplete documentation, complex dependencies, established tests, and change controls.

• Practical experience with multi-step coding agents, planning, context engineering, reusable instructions or skills, tool integrations including MCP where applicable, safe execution controls, and feedback-driven validation.

• Extensive experience in designing, coding, debugging, and maintaining complex enterprise applications and services, demonstrating sound judgment regarding architecture, APIs, data, performance, and maintainability.

• Practical experience with GitHub Copilot agent workflows in Visual Studio or VS Code.

• Familiarity with .NET/C#, Azure, SQL Server, and GitHub or Azure DevOps delivery practices.

• Capability to implement automated unit, integration, and end-to-end testing, CI/CD checks, peer reviews, security controls, deployment verification, and production troubleshooting for AI-assisted changes.

• Experience navigating enterprise restrictions on source code, client data, secrets, tools, networks, and access, with an understanding of prompt-injection risks, IP/licensing issues, and auditable approvals.

• Evidence of assisting established enterprise teams in adopting agentic practices despite legacy constraints, resistance to change, and competing delivery priorities.

• Strong ability to teach through pairing and demonstration, communicate effectively with both technical and non-technical leaders, constructively challenge assumptions, and guide developers.

• Desirable: experience in regulated industries such as insurance, healthcare, or financial services.

• Desirable: broader experience with agentic tooling, advanced delivery automation, AI systems assessment, consulting, and technical leadership.

🏝️ Benefits

• Engage in a dynamic work environment that fosters innovation and creativity.

• Collaborate with a talented team of professionals dedicated to excellence.

• Opportunities for professional development and career advancement.

• Competitive compensation and benefits package.