AI-driven Agentic Software Engineer

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., Git Hub 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.

Required Qualifications

- 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.

Preferred / Nice to Have
- 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.

Core Skills (from POD sheet)

Java/Python/.NET, Git, REST APIs, CI/CD basics, React; GH Copilot, Claude Code (or agentic IDE)