Software Engineer III

Software Engineer - III

About The Role

GHX is building a next-generation Intelligent Process Automation (IPA) platform powered by LLMs and AI-native document understanding. We extract structured data from complex healthcare procurement documents — Purchase Orders, invoices, contracts — at scale across cloud environments. As a member of the IPA engineering team, you will bridge strong software engineering with applied AI. You will design and ship Python services, integrate LLM APIs, build AI agents, create skills and validate the output of LLMs to build document extraction pipelines, and own evaluation infrastructure that ensures production quality. This is not a research role — it is a hands-on engineering role where AI fluency amplifies solid software craft.

Core Responsibilities

Python Development & Automation

• Build and maintain Python-based automation services and IPA workflows
• Develop platform-agnostic solutions supporting future migration across automation tooling
• Build reusable libraries, frameworks, and components for automation projects
• Integrate automation solutions with REST APIs and enterprise applications
• Deploy and monitor automation bots on AWS (Lambda, ECS, SQS, S3)
  
  

AI & LLM Integration

• Integrate LLM APIs (like Anthropic Claude, OpenAI, Azure AI) into production pipelines
• Design classification and extraction prompts for diverse document types (POs, invoices, contracts)
• Write prompts that function as formal specifications — unambiguous, edge-case-aware
• Build and iterate few-shot, chain-of-thought, and structured output templates
• Own prompt library versioning, rollback strategy, and prompt lifecycle management
  
  

AI & LLM Integration

• Integrate LLM APIs (like Anthropic Claude, OpenAI, Azure AI) into production pipelines
• Design classification and extraction prompts for diverse document types (POs, invoices, contracts)
• Write prompts that function as formal specifications — unambiguous, edge-case-aware
• Build and iterate few-shot, chain-of-thought, and structured output templates
• Own prompt library versioning, rollback strategy, and prompt lifecycle management
  
  

Document Processing & IDP

• Implement OCR/IDP workflows to extract and validate structured and unstructured data
• Build confidence scoring frameworks for extracted fields with multi-factor validation
• Design and curate ground truth datasets for classification and extraction tasks
• Build automated evaluation pipelines tracking precision, recall, and field-level accuracy
• Validate model outputs against intent — catch what is technically correct but conceptually wrong
  
  

Software Engineering

• Design and build production-grade APIs and services around LLM capabilities
• Apply Clean Architecture or equivalent — design for testability and maintainability
• Contribute to CI/CD pipelines, observability tooling, and deployment processes
• Conduct code reviews, establish coding standards, and mentor junior engineers
• Troubleshoot and optimize existing automation workflows and Python services
  
  

Collaboration & Communication

• Work closely with business analysts and stakeholders to understand process requirements
• Participate in Agile ceremonies — sprint planning, retrospectives, and estimation
• Communicate system constraints in product language; translate product needs into system boundaries
• Surface quality metrics and model behaviour clearly to non-technical stakeholders
  
  

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field
• 5–9 years of software engineering experience, with at least 4 years in Python
• Strong Python skills — Pandas, NumPy, Flask/Django, async programming
• Hands-on experience with LLM APIs (like Anthropic Claude, OpenAI, or Azure AI)
• Prompt engineering experience — structured outputs, few-shot, chain-of-thought
• 2+ years of experience with SQL and NoSQL databases
• Experience deploying applications on AWS — Lambda, SQS, S3, ECS
• Knowledge of Docker, Git, and CI/CD pipelines (Jenkins or equivalent)
• Familiarity with REST API design and tools like Swagger and Postman
• Understanding of OCR/IDP tools — AWS Textract, UiPath Document Understanding, or ABBYY
  
  

Desired Qualifications

• Experience with AI agent orchestration frameworks — LangChain, LlamaIndex, or MCP
• Familiarity with evaluation frameworks for LLM outputs (precision, recall, F1 at field level)
• NLP / text classification background
• UiPath Associate or Advanced RPA Developer certification (or equivalent)
• Exposure to Clean Architecture, DDD, or equivalent design patterns
• Understanding of Agile/Scrum methodologies
  
  

What Good Looks Like

• Prompt as specification — treats prompts like contracts: precise, unambiguous, edge-case-aware from the start
• Verification instinct — reads AI output critically; catches the subtly wrong answer before it becomes a data quality incident
• Evaluation-first mindset — doesn't trust a prompt in production without a test suite; builds measurement as part of the feature
• Engineering rigour — applies the same discipline to Python services as to LLM pipelines; Clean Architecture is the default, not the exception
• Communication range — can speak to a non-technical ops manager and a distributed system design at the same level of precision
  
  

GHX: It's the way you do business in healthcare

Global Healthcare Exchange (GHX) enables better patient care and billions in savings for the healthcare community by maximizing automation, efficiency and accuracy of business processes.

GHX is a healthcare business and data automation company, empowering healthcare organizations to enable better patient care and maximize industry savings using our world class cloud-based supply chain technology exchange platform, solutions, analytics and services. We bring together healthcare providers and manufacturers and distributors in North America and Europe - who rely on smart, secure healthcare-focused technology and comprehensive data to automate their business processes and make more informed decisions.

It is our passion and vision for a more operationally efficient healthcare supply chain, helping organizations reduce - not shift - the cost of doing business, paving the way to delivering patient care more effectively. Together we take more than a billion dollars out of the cost of delivering healthcare every year. GHX is privately owned, operates in the United States, Canada and Europe, and employs more than 1000 people worldwide. Our corporate headquarters is in Colorado, with additional offices in Europe.

Disclaimer

Global Healthcare Exchange, LLC and its North American subsidiaries (collectively, “GHX”) provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, national origin, sex, sexual orientation, gender identity, religion, age, genetic information, disability, veteran status or any other status protected by applicable law. All qualified applicants will receive consideration for employment without regard to any status protected by applicable law. This EEO policy applies to all terms, conditions, and privileges of employment, including hiring, training and development, promotion, transfer, compensation, benefits, educational assistance, termination, layoffs, social and recreational programs, and retirement.GHX believes that employees should be provided with a working environment which enables each employee to be productive and to work to the best of his or her ability. We do not condone or tolerate an atmosphere of intimidation or harassment based on race, color, national origin, sex, sexual orientation, gender identity, religion, age, genetic information, disability, veteran status or any other status protected by applicable law. GHX expects and requires the cooperation of all employees in maintaining a discrimination and harassment-free atmosphere. Improper interference with the ability of GHX’s employees to perform their expected job duties is absolutely not tolerated.

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