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1201 AI Engineer

🕒 yesterday
Azure AI FoundryLanggraphLLM-based Conversational AgentsPrompt Engineering
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📜 Description

  • Build the Journey 1 AI agent using Azure AI Foundry and LangGraph.
  • Design state machines, prompts, guardrails, and fallback mechanisms based on the agreed conversation design.
  • Integrate the agent with the mini-orchestrator platform, OTP verification flow, and external systems through APIs and tool calling.
  • Lead system and integration testing, support UAT, and resolve identified defects.
  • Validate agent behavior and implement error handling and fallback strategies to improve reliability.

🛠️ Requirements

  • Strong hands-on experience building LLM-based conversational agents using Azure AI Foundry and LangGraph.
  • Proven expertise in Prompt Engineering, guardrails design, and fallback strategies.
  • Experience integrating AI agents with external APIs through tool-calling frameworks.
  • Solid understanding of conversational AI architecture and orchestration patterns.
  • Experience designing customer-facing AI solutions for regulated environments.
  • Strong problem-solving and debugging skills.
  • Ability to work independently in a fast-paced project environment.
  • Upper-Intermediate English level (B2+) or higher.
  • Experience in banking, fintech, insurance, or other regulated industries.
  • Experience with authentication and authorization mechanisms.
Full job description

Intetics Inc., a leading American technology company specializing in custom software application development, distributed professional teams creation, software product quality assessment, and all-things-digital solutions, is looking for a Senior AI Engineer to join its innovative team.

Project Details

  • Location: Remote
  • Start Date: November 4, 2026
  • Duration: 1 Month
  • Workload: Up to 200 Hours
  • Working Hours: Philippine Time Zone
  • English Level: B2+

Project Responsibilities

  • Build the Journey 1 AI agent using Azure AI Foundry and LangGraph.
  • Design and implement state machines, prompts, guardrails, and fallback mechanisms based on the agreed conversation design.
  • Integrate the agent with the mini-orchestrator platform and OTP verification flow.
  • Integrate AI agents with external systems and APIs using tool-calling capabilities.
  • Lead system and integration testing activities.
  • Support User Acceptance Testing (UAT) and resolve identified defects.
  • Ensure reliable agent behavior through validation, error handling, and fallback strategies.

Requirements

  • Strong hands-on experience building LLM-based conversational agents using Azure AI Foundry and LangGraph.
  • Proven expertise in Prompt Engineering, guardrails design, and fallback strategies.
  • Experience integrating AI agents with external APIs through tool-calling frameworks.
  • Solid understanding of conversational AI architecture and orchestration patterns.
  • Experience designing customer-facing AI solutions for regulated environments.
  • Strong problem-solving and debugging skills.
  • Ability to work independently in a fast-paced project environment.
  • Upper-Intermediate English level (B2+) or higher.

Nice to Have

  • Experience in banking, fintech, insurance, or other regulated industries.
  • Experience with authentication and authorization mechanisms.
  • Knowledge of AI testing, evaluation, and quality assurance practices.
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