AI Engineer
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Key skills for this role
About the Role
Design and implement LangGraph agent graphs, build LLM extraction pipelines, and integrate AI tools while ensuring model evaluation and testing.
Key Skills for This Role
Responsibilities
- Design and implement LangGraph agent graphs for Supervisor Worker orchestration
- Build and maintain LLM based entity extraction pipelines using Azure AI Foundry
- Author, version, and govern prompts through the AWA Prompt Management System
- Develop and maintain MCP tool servers
- Execute model evaluation and testing per the AWA IDP Test Strategy
- Implement HITL interrupt() calls in LangGraph graphs
- Integrate Azure AI Content Safety, PII detection and tokenisation
Requirements
- Experience designing and implementing LangGraph agent graphs
- Experience building LLM based entity extraction pipelines using Azure AI Foundry
- Proficiency in prompt engineering and governance with semantic versioning
- Experience developing MCP tool servers
- Experience with model evaluation and testing (Band 1 and Band 2)
- Experience implementing HITL frameworks
- Experience integrating AI guardrails (Azure AI Content Safety, PII detection)
Full Job Posting
Role Overview
- The AI Engineer is the primary builder within the AWA AICoE.
- You will design, build, and test LangGraph agent graphs, LLM extraction pipelines, prompt management workflows, and MCP tool integrations.
- Work directly with the dual layer orchestration stack (Orkes Conductor + LangGraph) and Azure AI Foundry.
Key Responsibilities
- Agent graph development: Design and implement LangGraph agent graphs for Supervisor Worker orchestration, self reflection, actor critic, and HITL interrupt patterns.
- LLM extraction pipeline: Build and maintain LLM based entity extraction pipelines using Azure AI Foundry.
- Prompt engineering and governance: Author, version, and govern prompts through the AWA Prompt Management System.
- MCP tool integration: Develop and maintain the five core MCP tool servers.
- Model evaluation and testing: Execute Band 1 and Band 2 testing per the AWA IDP Test Strategy.
- HITL framework: Implement HITL interrupt() calls at mandatory and dynamic review points in LangGraph graphs.
- AI guardrail integration: Integrate Azure AI Content Safety, PII detection and tokenisation, prompt injection.
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