Agentic AI Engineer

Quick Facts

• Role: Agentic AI Engineer
• Work mode: Remote
• Engagement: Contract

Description

Design, build, and deploy AI agents that retrieve information, call tools, and execute multi-step workflows with human review where needed. Create the orchestration layer for reusable skills, context/state management, error recovery, and execution tracking. Integrate agents with enterprise APIs and governance/risk/compliance systems to automate evidence and control-testing workflows with traceable, auditable results.

Responsibilities

• Design, build, and deploy AI agents for tool use and multi-step workflows
• Build orchestration to manage reusable skills, context/state, error recovery, and execution tracking
• Integrate with enterprise APIs, document repositories, databases, and GRC/Risk/Compliance systems
• Automate evidence collection, document review, analysis, control validation, and exception identification
• Ensure results are traceable to evidence; implement evaluations, logging, monitoring, access controls, and review checkpoints
• Measure accuracy, consistency, cost, and performance against defined benchmarks

Requirements

• Hands-on experience building and deploying agentic applications executing multi-step workflows
• Strong Python and/or TypeScript backend skills including API integration
• Experience with tool calling, structured outputs, workflow orchestration, agent state management, and reusable agent capabilities
• Experience grounding and evaluating LLM outputs, handling exceptions, and securing applications that interact with enterprise data
• Ability to translate business requirements into software and communicate with technical and business stakeholders

Benefits

Contract remote opportunity to build auditable, evaluation-driven agentic AI solutions for enterprise governance and control testing use cases.