AI Full Stack Engineer-ONSITE INTERVIEW

"Job Title: Full Stack AI Developer
Work Location: Hybrid in The Woodlands, TX
Duration: 1 year with option to extend or convert

Job Description & Responsibilities :

• Build, configure, and maintain Azure Pipelines (YAML) with build, test, and deploy stages across dev, staging, and production.
• Configure Azure Repos branch policies, pull request validation builds, and release approvals.
• Manage pipeline variables, variable groups, service connections, and secrets (e.g., Azure Key Vault) to team security standards.
• Wire automated tests, linting, and security and quality scans into pipelines as release gates.
• Help build reusable pipeline templates and environment provisioning scripts so new platform instances deploy consistently.
• Support feature flag and configuration management across environments.
• Troubleshoot failed builds and deployments, and document the root cause and fix.
• Use AI coding agents and assistants to draft pipeline definitions, scripts, and docs, then validate the output before merging.
• Maintain runbooks, pipeline documentation, and onboarding notes.
• Track work in Azure Boards, take part in code reviews, and join sprint ceremonies.
• Contribute small fixes across the stack (TypeScript/React front end, Node or Python APIs) as capacity allows.

Skills & Qualifications:

• 1-3 years of professional experience in software development or DevOps, or equivalent internships or projects.
• Hands-on exposure to Azure DevOps (Pipelines, Repos, Boards) or a comparable CI/CD tool (GitHub Actions, GitLab CI, Jenkins).
• Working Git knowledge: branching, pull requests, resolving merge conflicts.
• Able to read and write YAML, with basic scripting in Bash or PowerShell.
• Familiarity with TypeScript/JavaScript and at least one of Node.js or Python.
• Basic cloud fundamentals (Azure preferred; AWS or Google Cloud Platform acceptable): compute, storage, identity and access.
• Daily, practical use of AI development tools (e.g., GitHub Copilot, Claude Code, Cursor), with the judgment to review and test what they produce.

Clear written communication and habitual documentation