AI Agent Engineer (Agentic Automation)

Quick Facts

• Role: AI Agent Engineer (Agentic Automation)

Description

Develop scalable Python backend services, REST APIs, and integration components. Build and orchestrate AI agents for reconciliation, exception investigation, variance analysis, and close processes, including agent state, routing, tool/function calling, retries, checkpoints, and failure recovery. Integrate agents with enterprise data (including SQL, APIs, and rules engines), implement human-in-the-loop approval workflows, and deliver production-ready solutions with testing, observability, security, and CI/CD support.

Responsibilities

• Develop Python backend services, REST APIs, and integration components

• Build and orchestrate AI agents for reconciliation, exception investigation, variance analysis, and close processes

• Implement agent state, routing, tool/function calling, retries, checkpoints, and failure recovery

• Integrate agents with enterprise data, SQL, APIs, rules engines, and governed tools

• Implement human-in-the-loop review and approval workflows

• Develop prompts, grounded context, structured outputs, and evidence-backed responses

• Build automated unit, API, integration, regression, and agent-evaluation tests

• Implement logging, tracing, monitoring, security, and production-readiness controls

• Support CI/CD, deployment, configuration, and operational troubleshooting

Requirements

• Strong Python and SQL

• FastAPI (or equivalent Python API framework)

• REST APIs and microservices

• AI/LLM and agentic AI concepts

• Agent orchestration and state management

• Prompt engineering and tool/function calling

• RAG and enterprise data integration

• Workflow orchestration and exception handling

• Automated testing and CI/CD

• Observability, logging, telemetry, and tracing

• IAM/RBAC, secrets management, encryption, and secure API design

Benefits

Not specified in the provided posting.