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Insight Global

INTL Python Engineer - AOR

Career Insights for Python Developer

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What they do

A Python Developer designs or improves computer software involving Python, an interpreted high-level programming language for general-purpose programming. Oversees the entire software development process.

$127,144 / year median in Rhode Island

+9% projected growth

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Job Description

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Position range in Rhode Island $91k

  • $148k Per Year INTL Python Engineer
  • AOR
    Insight Global
Occupation:

Software Developers

Location:

Woonsocket, RI

  • 02895
Job Type:

Full Time (30 Hours or More)

Posted:

06/13/2026

Positions available: 1

Source:

NLX

Web Site:

usnlx.com

Job #: 293070497

Job Requirements and Properties

Help for Job Requirements and Properties. Opens a new window. Work Onsite

Full Time Schedule

Full Time

Job Description

Help for Job Description. Opens a new window. Job Description

We are seeking a Python Engineer to join a large healthcare company that is building a next-generation AI-powered document processing platform. This platform ingests high volumes of documents (e.g., prescriptions, faxes, warehouse orders), classifies them using AI, and routes them through the appropriate downstream workflows.

This role will focus on expanding and scaling the platform by enhancing document ingestion, processing logic, and AI-driven classification capabilities. The team is moving beyond initial POCs and actively building production-grade solutions to support pharmacy operations and broader enterprise use cases.

Key Responsibilities

  • Design and develop scalable Python-based solutions for document ingestion and processing pipelines
  • Build and enhance data engineering workflows to handle high-volume document streams (e.g., prescriptions, faxes)
  • Implement business logic to process and transform documents based on requirements from pharmacy and operations teams
  • Leverage AI/LLM tools (e.g., Gemini, Claude, Anthropic models) for document classification, extraction, and workflow automation
  • Develop prompt engineering strategies (personas, task structuring, agentic workflows) to improve model accuracy and performance
  • Optimize document handling workflows, including:
    o Identifying and merging duplicate records
    o Collapsing multi-line or multi-item documents into structured outputs
    o Processing and standardizing PDF-based inputs
  • Collaborate closely with business stakeholders to translate operational workflows into automated systems
  • Support expansion of new use cases on the platform as adoption grows across the organization
    We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day.

We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.



To learn more about how we collect, keep, and process your private information, please review

Insight Global's Workforce Privacy Policy:

https://insightglobal.com/workforce-privacy-policy/.

Skills and Requirements

  • Strong hands-on experience with Python development
  • Background in data engineering (ETL pipelines, data processing, handling unstructured data)
  • Experience working with high-volume data systems
  • Experience with prompt engineering and LLM optimization (e.g., personas, agent-based workflows)
  • Familiarity with AI/ML or LLM-based solutions, particularly for document processing or classification
  • Exposure to tools/models such as Gemini, Claude (Anthropic), or similar LLM platforms
  • Experience processing PDFs and unstructured documents at scale
  • Healthcare or pharmacy domain experience (prescriptions, fax workflows, etc.

)