Software Engineer - AI Assisted Development
Project Summary
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We are looking for a Software Engineer to lead the adoption of AI-assisted coding practices across the organization. This role combines hands-on engineering, enablement, and governance—defining how AI is used in software development while actively supporting teams in building their first applications using AI-assisted workflows. You will act as both a coach and a quality gate, ensuring teams leverage AI effectively without compromising engineering standards.
Main Responsibilities / ObjectivesAI-Assisted Development Practices
* Define and standardize best practices for AI-assisted coding across teams.
* Establish clear guidelines for when and how to use AI tools (generation, refactoring, testing, documentation).
* Create reusable playbooks, patterns, and prompt libraries for effective AI usage.
* Promote responsible usage with strong human-in-the-loop validation and traceability.
Hands-On Enablement & App Development
* Partner with teams to build their first applications using AI-assisted coding (“vibe coding”).
* Review and guide early implementations to ensure quality, maintainability, and alignment with architecture standards.
* Act as a technical coach, helping engineers translate AI-generated outputs into production-ready solutions.
* Identify common pitfalls and turn them into reusable best practices and guardrails.
Tooling & Integration
* Evaluate and integrate AI coding tools (e.G., GitHub Copilot, Cursor IDE).
* Embed AI into the development lifecycle (IDE, CI/CD, code reviews).
* Build internal tooling or wrappers to standardize usage patterns, enforce guardrails, and capture metrics and insights.
Engineering Quality & Governance
* Define quality standards for AI-generated code (testing, security, performance).
* Establish review processes adapted to AI-assisted development. xhfqzwm
* Ensure compliance with enterprise requirements (security, licensing, data privacy).
* Prevent anti-patterns such as: Bli
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