AI Application Development Engineer
Brennan (company site, opens in a new tab)MumbaiOn-siteDirect career pageEst. 10–18 LPA
Posted on 10 Sept
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Job description
Structured overview of role & requirements
About This Role
- 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.
Minimum Requirements
- 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.
Ideal Candidate Profile
- 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.