Agentic AI Engineer

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Role Summary

Codes and integrates AI/ML outputs into applications using traditional SDLC practices without automated ML pipelines. Includes engineer focused on UI/UX. Uses AI Agents effectively to accelerate delivery.

Responsibilities

• Build full-stack applications that integrate AI/ML outputs into user-facing and backend workflows.
• Develop APIs and services that orchestrate model inference, prompt flows, and agent/tool integrations.
• Leverage AI coding assistants (e.g., GitHub Copilot, agentic IDEs) to accelerate delivery while maintaining quality.
• Implement UI/UX experiences for AI-enabled features (explanations, feedback loops, human-in-the-loop controls).
• Apply secure SDLC practices: code reviews, testing, dependency management, and vulnerability remediation.
• Partner with architects and platform tea
• ms to align to standards and reuse shared components.