Latest job information from ClifyX, INC for the position of AI-driven Agentic Software Engineer. If the AI-driven Agentic Software Engineer vacancy in Minnetonka matches your qualifications, please submit your latest application or CV directly through the updated Jobkos job portal.
Please note that applying for a job may not always be easy, as new candidates must meet certain qualifications and requirements set by the company. We hope the career opportunity at ClifyX, INC for the position of AI-driven Agentic Software Engineer below matches your qualifications.
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. - 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.
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