Build and operate production agent systems that turn advances in reasoning, planning, memory, and tool use into useful product features, integrations, and reliable full-stack experiences.
1201 AI Engineer
📜 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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