Job Description

:

Build Python data converters (not simple scripts - full class architecture)
Design multi-step conversion workflows (parse map buildvalidate) Engineer AI prompts to automate repetitive development Extract reusable patterns from working code Document processes so future AI can replicate work
Iterative development: build test documentimprove

Technical Skills:

Python (Advanced): (Must)XML parsing: lxml, xml.etree (complex nested structures) Data modeling: dataclasses, Pydantic, type hints OOP: abstract base classes, inheritance, interfaces Custom exception handling
AI Engineering: (must)Prompt engineering for GitHub Copilot/LLMs Design AI workflows (step-by-step instructions for AI agents) Create decision trees and tool sequences Write documentation that AI can follow
Data Conversion:Parse X12 EDI format (pipe/tilde delimited healthcare standard) Generate valid XML with namespaces
Complex field mapping (sourcedestination) Handle date/time conversions, code translations
Healthcare EDI: (is PLUS - not mandatory)Understand HIPAA 5010 specifications X12 segment structure (ISA, GS, ST, HL hierarchies) Healthcare transactions (270/271/837/835)
Process Engineering:Design repeatable conversion patterns Document for both humans and AI Extract reusable components

Qualifications

Any Graduate

Range of Year Experience-Min Year

5

Range of Year Experience-Max Year

8