Logistics Systems & EDI Support Specialist

UNIS; Davao del Sur; On-site; PHP 1,000,000 - 1,300,000; Full time

Job summary

Item.com is seeking an Agentic AI Engineer to build, deploy, and operate reliable AI agents that interact with business systems, data, APIs, and human operators.

You will create agentic systems for complex multi-step work, ensure observability and safe autonomy, and translate real business workflows into dependable agent-enabled capabilities while maintaining security and cost controls.

Qualifications

• Strong engineering capability in Python and/or TypeScript.
• Experience with APIs, backend services, cloud, and data stores.
• Practical experience with tool calling, retrieval, state, orchestration, evaluation, and production observability.
• Ability to explain permissions, human review, hallucination containment, tool failure, and incident response.

Responsibilities

• Create agentic systems that safely complete multi-step work.
• Make agent behavior observable, measurable, recoverable, and cost-conscious.
• Turn real business workflows into reliable agent-assisted capabilities.
• Build agents using tools, APIs, retrieval, structured outputs, state, and human approval paths.
• Design execution flows with clear permissions, validation, retries, timeouts, escalation, and recovery behavior.
• Implement agent evaluation, tracing, observability, cost controls, and operational metrics.
• Develop secure tool interfaces and control access to data and downstream actions.
• Analyze agent failures and improve prompts, tools, policy, workflow design, and fallback paths.
• Partner with product and operations teams to define safe autonomy boundaries.
• Demonstrate ownership of production AI/LLM applications with agentic behavior.

Skills

Python

TypeScript

APIs

Backend services

Cloud

Data stores

Tool calling

Retrieval

State management

Orchestration

Observability

Tools

Tool calling

Retrieval

State

Orchestration

Observability

Job description

Item.com is seeking an Agentic AI Engineer to build, deploy, and operate reliable AI agents that interact with business systems, data, APIs, and human operators.

Responsibilities

• Create agentic systems that safely complete multi-step work.
• Make agent behavior observable, measurable, recoverable, and cost-conscious.
• Turn real business workflows into reliable agent-assisted capabilities.
• Build agents using tools, APIs, retrieval, structured outputs, state, and human approval paths.
• Design execution flows with clear permissions, validation, retries, timeouts, escalation, and recovery behavior.
• Implement agent evaluation, tracing, observability, cost controls, and operational metrics.
• Develop secure tool interfaces and control access to data and downstream actions.
• Analyze agent failures and improve prompts, tools, policy, workflow design, and fallback paths.
• Partner with product and operations teams to define safe autonomy boundaries.
• Demonstrate ownership of production AI/LLM applications with agentic behavior.

Preferred Requirements:

• Strong Python and/or TypeScript engineering capability; experience with APIs, backend services, cloud, and data stores.
• Practical experience with tool calling, retrieval, state, orchestration, evaluation, and production observability.
• Ability to explain permissions, human review, hallucination containment, tool failure, and incident response.
• Framework familiarity is useful, but evidence of engineering and operational ownership matters more.