Description

We are looking for 3 hands-on AI Engineers with strong experience building and deploying Agentic AI applications. The project focuses on developing an AI-powered application to automate audit and controls testing using Azure for compute and storage and Google Gemini for LLM capabilities.

Key Responsibilities

• Design, develop, and deploy AI agents capable of executing multi-step workflows, retrieving information, and calling external tools.
• Build agent orchestration layers to manage reusable skills, context, state, and error recovery.
• Integrate AI agents with enterprise APIs, document repositories, databases, and GRC systems.
• Develop solutions to automate evidence collection, document reviews, sample analysis, control validation, and exception identification.
• Implement human review checkpoints, logging, monitoring, access controls, and evaluation frameworks.
• Ensure AI-generated results are accurate, traceable, secure, and supported by relevant evidence.
• Evaluate application performance, accuracy, consistency, and cost.

Required Qualifications

• Hands-on experience building and deploying Agentic AI applications involving multi-step workflows.
• The project uses Azure for compute and storage and Google Gemini for the LLM, with Gemini Enterprise Agent Platform in scope.
• Strong programming skills in Python and/or TypeScript.
• Backend development and enterprise API integration experience.
• Experience with:
• AI Agent Development and Tool Calling
• Workflow Orchestration
• Agent State and Context Management
• Structured Outputs
• Reusable Agent Capabilities
• LLM Grounding and Evaluation
• Experience handling exceptions, securing AI applications, and working with enterprise data.
• Ability to translate business requirements into working AI solutions.

Preferred Qualifications

• Experience building AI harnesses that load and execute reusable skills.
• Experience with Internal Audit, SOX, ITGC, Compliance, or Controls Testing automation.
• Understanding of control design, operating effectiveness, evidence sufficiency, sampling, and exception management.
• Experience integrating with GRC, ERP, identity, and ticketing systems.
• Knowledge of scoped permissions, approval workflows, sandboxed execution, and auditable agent activities.
• Experience with Microsoft Azure and Google Gemini / Gemini Enterprise Agent Platform

Key Skills

Education

Any Graduate