AI Engineer

Intetics

. Build the Journey 1 AI agent using Azure AI Foundry and LangGraph .

Posted 11/2/2026contractRemote • Philippines, UkraineMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building LLM-based conversational agents using Azure AI Foundry and LangGraph, with a strong focus on prompt engineering, integration with external APIs, and ensuring reliable agent behavior through effective testing and validation strategies.

Highest-signal resume keywords

Azure AI FoundryLangGraphPrompt EngineeringAPI IntegrationConversational AI Architecture

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

LLM-Based Conversational AgentsGuardrails DesignFallback StrategiesError HandlingDebugging Skills

Soft Skills

Problem-SolvingIndependent Work

Tools & Technologies

Mini-Orchestrator PlatformTool-Calling Frameworks

Industry Keywords

Regulated EnvironmentsBankingFintechInsuranceAuthentication Mechanisms

Tech Stack

Tools & technologies

Azure

About the role

Key responsibilities & impact

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

What you’ll need

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 (nice to have)
Experience with authentication and authorization mechanisms (nice to have)
Knowledge of AI testing, evaluation, and quality assurance practices (nice to have)

Benefits

Comp & perks

Duration: 1 Month
Workload: Up to 200 Hours