Agentic AI Engineer

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.

Job Description: • 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 teams to align to standards and reuse shared components.

• 5+ years building production software (backend and/or frontend) in Java/Python/.NET ecosystems.

• Experience with web frameworks and modern UI (React or similar) and REST API development.

• Working knowledge of CI/CD, Git workflows, and automated testing.

• Comfort integrating with ML services, LLM/agent runtimes, or data platforms via APIs.

• Strong problem-solving skills and ability to deliver iteratively in an agile environment.

• Experience building internal tools or copilots with prompt engineering and tool/function calling.

• Experience with observability for AI features (quality metrics, prompt/model versioning).

• UX experience designing AI interactions and feedback capture.