AI ENGINEER

Ascendion; Makati; Vor Ort; PHP 600.000 - 1.000.000; Vollzeit

Zusammenfassung

Ascendion is seeking a skilled AI engineer to develop and configure specialized agents using Azure AI Foundry Agent Service and Microsoft Copilot Studio. You will implement prompts, tool calls, RAG, vector search, and structured outputs, then build retrieval pipelines to access enterprise knowledge sources.

You will collaborate with business, engineering, and AI teams to translate complex workflows into practical capabilities, create automated tests, and continually validate accuracy and

Aufgaben

• Develop and configure specialized agents using Azure AI Foundry Agent Service and Microsoft Copilot Studio.
• Implement agent instructions, prompt logic, tool calling, Retrieval-Augmented Generation (RAG), vector search, structured outputs, validation, and human-review steps.
• Build and maintain retrieval pipelines that chunk, embed, index, and retrieve information from enterprise knowledge sources.
• Integrate AI agents with REST APIs, enterprise data sources, and Azure services using Python and structured schemas.
• Collaborate with business teams, engineers, subject-matter experts, and senior AI engineers to translate complex workflows into practical AI capabilities.
• Create evaluation datasets, automated tests, and repeatable validation methods to assess accuracy, relevance, traceability, and usefulness.
• Troubleshoot agent failures, retrieval issues, and integration problems, and refine solutions based on findings and user feedback.
• Rapidly prototype and test new capabilities using Git and AI-assisted development tools while maintaining clear, reusable code.
• Contribute to connected multi-agent workflows and end-to-end engineering process automation.
• Work as part of a cross-functional, agile team and perform other duties as directed.

Jobbeschreibung

• Develop and configure specialized agents using Azure AI Foundry Agent Service and Microsoft Copilot Studio.
• Implement agent instructions, prompt logic, tool calling, Retrieval-Augmented Generation (RAG), vector search, structured outputs, validation, and human-review steps.
• Build and maintain retrieval pipelines that chunk, embed, index, and retrieve information from enterprise knowledge sources.
• Integrate AI agents with REST APIs, enterprise data sources, and Azure services using Python and structured schemas.
• Collaborate with business teams, engineers, subject-matter experts, and senior AI engineers to translate complex workflows into practical AI capabilities.
• Create evaluation datasets, automated tests, and repeatable validation methods to assess accuracy, relevance, traceability, and usefulness.
• Troubleshoot agent failures, retrieval issues, and integration problems, and refine solutions based on findings and user feedback.
• Rapidly prototype and test new capabilities using Git and AI-assisted development tools while maintaining clear, reusable code.
• Contribute to connected multi-agent workflows and end-to-end engineering process automation.
• Work as part of a cross-functional, agile team and perform other duties as directed.