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EDI Specialist Engineer with AI Automation

Coretek LabsUnited States🇺🇸United StatesPosted Oct 16, 2026

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
United States
Posted
22 hours ago
PL/SQLSQLSQL ServerT-SQLAgileAzureComplianceData PrivacyGitLLMREST

Job Description

Job Title: EDI Specialist Engineer with AI Automation

Exp:7+ years
Skill Cluster: Data-PL/SQL, RDBMS databases, SQL scripts .
Primary Skill: EDI, SSMS, SQL
Job Summary
We are looking for an experienced EDI Specialist Engineer with hands-on AI/GenAI experience to develop, support, and optimize healthcare EDI integrations and data exchange processes.
The candidate should have strong EDI, SQL, and integration skills, along with experience using AI and automation to reduce manual effort, improve operational efficiency, and troubleshoot data issues.
Key Responsibilities:
  • Design, develop, test, and maintain EDI applications, integrations, and workflows.
  • Work with healthcare EDI transactions, including X12 834, 835, 837, 270/271, and 276/277.
  • Use SQL Server, T-SQL, and SSMS to analyze data and troubleshoot issues.
  • Work with Go Anywhere MFT, APIs, messaging systems, and file transfer technologies.
  • Apply GenAI, LLMs, and agentic AI solutions to automate repetitive tasks, analyze errors, streamline workflows, and improve operational efficiency.
  • Develop automation scripts and AI-assisted solutions while ensuring data privacy, security, and compliance.
  • Work with engineering and business teams in an Agile environment, following Git/Azure DevOps and CI/CD practices.
Required Skills:
  • 7+ years of experience in EDI development, integration, and support.
  • Strong knowledge of healthcare EDI standards and transactions.
  • Hands-on experience with SQL Server, T-SQL, and REST APIs.
  • Experience with Go Anywhere MFT or similar managed file transfer tools.
  • Practical experience with GenAI/LLM applications, AI-driven automation, or agentic AI solutions.
  • Knowledge of scripting, Git/Azure DevOps, CI/CD, and DevOps practices.
  • Strong troubleshooting, analytical, and communication skills

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