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Broad AI+web+infra skillset and mid-level generalist profile make candidate pool moderately competitive.
LLM-focused application work increases domain specificity, though web and integration skills remain transferable.
Requires specific stack (Django/Flask, Docker, CI/CD, Azure) but no years, so moderate filtering.
Develop and maintain AI-assisted applications, Beacon modules, and Cowork skills based on approved specifications.
Build reusable components and integrations with REST APIs, Microsoft 365, MCP connectors, CMDBs, and ITSM platforms.
Manage AI-assisted development lifecycle including AI-generated build output, code reviews, CI/CD pipelines, containerized deployment, and telemetry tooling.
Hands-on experience in application, integration, or automation development with frameworks such as Django or Flask.
Experience working with REST APIs and version control using Git.
Familiarity with CI/CD pipelines, automated testing, containerized deployment (e.g., Docker), and cloud platforms preferably Azure.
Work Experience Required: Not explicitly mentioned in the JD.
Operates effectively in spec-driven development environments focusing on reusable, scalable, and maintainable AI-assisted software.
Demonstrates ability to collaborate across technical and non-technical teams to translate business requirements into secure and reliable applications.
Experienced troubleshooting and debugging in Linux environments with scripting (e.g., Bash) and integrating AI coding assistants and tooling into daily development.