Must Have Technical/Functional Skills

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.



Key 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.
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