Description

Job Description:

•  Design, develop, test, and operate production-grade APIs, backend services, web applications, and developer-facing platforms. Build self-service portals, infrastructure platform catalogs, reusable components, and automation that simplify adoption of approved platform capabilities.
•  Develop integrations across application services, databases, messaging platforms, API gateways, and enterprise engineering tools.
•  Write maintainable, secure, well-tested code and participate in code reviews, design discussions, troubleshooting, and performance optimization.
• Own capabilities throughout the SDLC, including CI/CD, deployment, rollback, documentation, and operational readiness. AI Engineering and Intelligent Automation
•  Build AI agents and AI-assisted workflows for architecture analysis, engineering knowledge discovery, evidence collection, standards validation, and remediation planning.
• Develop retrieval-augmented generation solutions that ground responses in authorized architecture documents, code, configuration, and platform knowledge.
• Integrate agents with enterprise APIs and tools through controlled interfaces, including Model Context Protocol (MCP) where appropriate.
•  Implement evaluation frameworks for accuracy, grounded ness, safety, consistency, latency, and cost.
•  Engineer production controls for AI systems, including access restrictions, bounded execution, auditability, human approval, and safe fallback behavior.
•  Automate architecture-review feedback and remediation tracking within developer workflows

Key Skills

Education

Any Graduate