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Salt Logo Salt · IT - Software Development

AI Engineer

United Arab Emirates, Dubai · Job Posted July 14, 2026
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Job Responsibility

  • Agent graph development: Design and implement LangGraph agent graphs for Supervisor-Worker orchestration, self-reflection, actor-critic, and HITL interrupt patterns using TypedDict state schemas and conditional edge routing
  • LLM extraction pipeline: Build and maintain LLM-based entity extraction pipelines using Azure AI Foundry, implementing structured output enforcement, per-field confidence scoring, and Pydantic output validation against Use Case Manifest schemas
  • Prompt engineering and governance: Author, version, and govern prompts through the AWA Prompt Management System (PMS) using semantic versioning
  • run prompt sensitivity and correctness testing using the AWA IDP Test Strategy
  • MCP tool integration: Develop and maintain the five core MCP tool servers (query_structured, retrieve_precedents, query_documents, checkpoint_state, observe) and extend them for new use case requirements
  • Model evaluation and testing: Execute Band 1 and Band 2 testing (Model Testing, Prompt Testing, Agent Testing, AI Security Testing, Adversarial Testing) per the AWA IDP Test Strategy
  • maintain the Golden Dataset and Regression Dataset
  • HITL framework: Implement HITL interrupt() calls at mandatory and dynamic review points in LangGraph graphs
  • configure Orkes Wait tasks
  • validate HITL state persistence and checkpoint-based resumption
  • AI guardrail integration: Integrate Azure AI Content Safety, PII detection and tokenisation, prompt injection shielding, and output sanitisation into agent pipelines at the AWA AI Gateway layer
  • Cross-field validation rules: Implement business validation rules (amount-words-vs-figures, date validity, MICR format, referential integrity) within LangGraph validation agent nodes

Requirements

  • 5+ years Python development – production-grade, not just scripting
  • Hands-on experience with LangGraph, LangChain, or equivalent agentic AI frameworks
  • Practical LLM prompt engineering: structured outputs, few-shot design, output schema enforcement
  • Familiarity with Azure AI Foundry / OpenAI API or equivalent LLM API (Anthropic, Cohere)
  • Understanding of agent design patterns: ReAct, self-reflection, tool use, HITL
  • REST API development and consumption
  • JSON schema design
  • Git version control
  • CI/CD pipeline awareness

Nice to have

  • Experience with Orkes Conductor, Apache Airflow, or Temporal for workflow orchestration
  • Azure AI Document Intelligence or equivalent OCR platform experience
  • Computer vision model integration (object detection APIs)
  • Knowledge of RAG architectures: chunking, vector indexing, Azure AI Search
  • Azure platform familiarity: AKS, ADLS Gen2, Azure ML, Azure Monitor
  • Pydantic, FastAPI, TypeScript/Node.js
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