Software Engineer III

<p><strong><span data-ccp-props="{"335559738":0,"335559739":60}"> </span><span data-contrast="none">Software Engineer - III</span><span data-ccp-props="{"134233117":false,"134233118":false,"201341983":0,"335551550":1,"335551620":1,"335559685":0,"335559737":0,"335559738":0,"335559739":240,"335559740":259,"335572079":12,"335572080":4,"335572081":680936,"469789806":"single"}"> </span></strong></p> <p><strong><span data-contrast="none">About the Role</span></strong><span data-ccp-props="{"335559738":0,"335559739":120}"> </span></p> <p><span data-contrast="none">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.</span> <span data-contrast="none">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.</span><span data-ccp-props="{"335559738":60,"335559739":60}"> <br><br><br></span></p> <p><strong><span data-contrast="none"><span data-ccp-parastyle="heading 1">Core Responsibilities</span></span></strong><span data-ccp-props="{"335559738":320,"335559739":120,"335572079":6,"335572080":4,"335572081":680936,"469789806":"single"}"> </span></p> <p><strong><span data-contrast="none">Python Development & Automation</span></strong><span data-ccp-props="{"335559738":200,"335559739":80}"> </span></p> <ul> <li data-leveltext="●" data-font="" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"●","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1"><span data-contrast="none">Build and maintain Python-based automation services and IPA workflows</span><span data-ccp-props="{"335559685":360,"335559738":40,"335559739":40}"> </span></li> </ul> <ul> <li data-leveltext="●" data-font="" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"●","469777815":"hybridMultilevel"}" data-aria-posinset="2" data-aria-level="1"><span data-contrast="none">Develop platform-agnostic solutions supporting future migration across automation tooling</span><span data-ccp-props="{"335559685":360,"335559738":40,"335559739":40}"> </span></li> </ul> <ul> <li data-leveltext="●" data-font="Calibri" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"●","469777815":"hybridMultilevel"}" data-aria-posinset="3" data-aria-level="1"><span data-contrast="none">Build reusable libraries, frameworks, and components for automation projects</span><span data-ccp-props="{"335559685":360,"335559738":40,"335559739":40}"> </span></li> </ul> <ul> <li data-leveltext="●" data-font="" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"●","469777815":"hybridMultilevel"}" data-aria-posinset="4" data-aria-level="1"><span data-contrast="none">Integrate automation solutions with REST APIs and enterprise applications</span><span data-ccp-props="{"335559685":360,"335559738":40,"335559739":40}"> </span></li> </ul> <ul> <li data-leveltext="●" data-font="" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"●","469777815":"hybridMultilevel"}" data-aria-posinset="5" data-aria-level="1"><span data-contrast="none">Deploy and monitor automation bots on AWS (Lambda, ECS, SQS, S3)</span><span data-ccp-props="{"335559685":360,"335559738":40,"335559739":40}"> <br><br></span> <p><strong><span data-contrast="none">AI & LLM Integration</span></strong><span data-ccp-props="{"335559738":200,"335559739":80}"> </span></p> <ul> <li data-leveltext="●" data-font="" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"●","469777815":"hybridMultilevel"}" data-aria-posinset="6" data-aria-level="1"><span data-contrast="none">Integrate LLM APIs (like Anthropic Claude, OpenAI, Azure AI) into production pipelines</span><span data-ccp-props="{"335559685":360,"335559738":40,"335559739":40}"> </span></li> </ul> <ul> <li data-leveltext="●" data-font="" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"●","469777815":"hybridMultilevel"}" data-aria-posinset="7" data-aria-level="1"><span data-contrast="none">Design classification and extraction prompts for diverse document types (POs, invoices, contracts)</span><span data-ccp-props="{"335559685":360,"335559738":40,"335559739":40}"> </span></li> </ul> <ul> <li data-leveltext="●" data-font="" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"●","469777815":"hybridMultilevel"}" data-aria-posinset="8" data-aria-level="1"><span data-contrast="none">Write prompts that function as formal specifications — unambiguous, edge-case-aware</span><span data-ccp-props="{"335559685":360,"335559738":40,"335559739":40}"> </span></li> </ul> <ul> <li data-leveltext="●" data-font="" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"●","469777815":"hybridMultilevel"}" data-aria-posinset="9" data-aria-level="1"><span data-contrast="none">Build and iterate few-shot, chain-of-thought, and structured output templates</span><span data-ccp-props="{"335559685":360,"335559738":40,"335559739":40}"> </span></li> </ul> <ul> <li data-leveltext="●" data-font="" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"●","469777815":"hybridMultilevel"}" data-aria-posinset="10" data-aria-level="1"><span data-contrast="none">Own prompt library versioning, rollback strategy, and prompt lifecycle management</span><span data-ccp-props="{"335559685":360,"335559738":40,"335559739":40}"> <br></span> <p><strong><span data-contrast="none">AI & LLM Integration</span></strong><span data-ccp-props="{"335559738":200,"335559739":80}"> </span></p> <ul> <li data-leveltext="●" data-font="" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"●","469777815":"hybridMultilevel"}" data-aria-posinset="6" data-aria-level="1"><span data-contrast="none">Integrate LLM APIs (like Anthropic Claude, OpenAI, Azure AI) into production pipelines</span><span data-ccp-props="{"335559685":360,"335559738":40,"335559739":40}"> </span></li> </ul> <ul> <li data-leveltext="●" data-font="" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"●","469777815":"hybridMultilevel"}" data-aria-posinset="7" data-aria-level="1"><span data-contrast="none">Design classification and extraction prompts for diverse document types (POs, invoices, contracts)</span><span data-ccp-props="{"335559685":360,"335559738":40,"335559739":40}"> </span></li> </ul> <ul> <li data-leveltext="●" data-font="" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"●","469777815":"hybridMultilevel"}" data-aria-posinset="8" data-aria-level="1"><span data-contrast="none">Write prompts that function as formal specifications — unambiguous, edge-case-aware</span><span data-ccp-props="{"335559685":360,"335559738":40,"335559739":40}"> </span></li> </ul> <ul> <li data-leveltext="●" data-font="" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"●","469777815":"hybridMultilevel"}" data-aria-posinset="9" data-aria-level="1"><span data-contrast="none">Build and iterate few-shot, chain-of-thought, and structured output templates</span><span data-ccp-props="{"335559685":360,"335559738":40,"335559739":40}"> </span></li> </ul> <ul> <li data-leveltext="●" data-font="" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"●","469777815":"hybridMultilevel"}" data-aria-posinset="10" data-aria-level="1"><span data-contrast="none">Own prompt library versioning, rollback strategy, and prompt lifecycle management</span><span data-ccp-props="{"335559685":360,"335559738":40,"335559739":40}"> </span></li> </ul> <p><strong><span data-contrast="none">Document Processing & IDP</span></strong><span data-ccp-props="{"335559738":200,"335559739":80}"> </span></p> <ul> <li data-leveltext="●" data-font="" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"●","469777815":"hybridMultilevel"}" data-aria-posinset="11" data-aria-level="1"><span data-contrast="none">Implement OCR/IDP workflows to extract and validate structured and unstructured data</span><span data-ccp-props="{"335559685":360,"335559738":40,"335559739":40}"> </span></li> </ul> <ul> <li data-leveltext="●" data-font="" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"●","469777815":"hybridMultilevel"}" data-aria-posinset="12" data-aria-level="1"><span data-contrast="none">Build confidence scoring frameworks for extracted fields with multi-factor validation</span><span data-ccp-props="{"335559685":360,"335559738":40,"335559739":40}"> </span></li> </ul> <ul> <li data-leveltext="●" data-font="" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"●","469777815":"hybridMultilevel"}" data-aria-posinset="13" data-aria-level="1"><span data-contrast="none">Design and curate ground truth datasets for classification and extraction tasks</span><span data-ccp-props="{"335559685":360,"335559738":40,"335559739":40}"> </span></li> </ul> <ul> <li data-leveltext="●" data-font="" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"●","469777815":"hybridMultilevel"}" data-aria-posinset="14" data-aria-level="1"><span data-contrast="none">Build automated evaluation pipelines tracking precision, recall, and field-level accuracy</span><span data-ccp-props="{"335559685":360,"335559738":40,"335559739":40}"> </span></li> </ul> <ul> <li data-leveltext="●" data-font="" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"●","469777815":"hybridMultilevel"}" data-aria-posinset="15" data-aria-level="1"><span data-contrast="none">Validate model outputs against intent — catch what is technically correct but conceptually wrong</span><span data-ccp-props="{"335559685":360,"335559738":40,"335559739":40}"> </span></li> </ul> <p><strong><span data-contrast="none">Software Engineering</span></strong><span data-ccp-props="{"335559738":200,"335559739":80}"> </span></p> <ul> <li data-leveltext="●" data-font="" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"●","469777815":"hybridMultilevel"}" data-aria-posinset="16" data-aria-level="1"><span data-contrast="none">Design and build production-grade APIs and services around LLM capabilities</span><span data-ccp-props="{"335559685":360,"335559738":40,"335559739":40}"> </span></li> </ul> <ul> <li data-leveltext="●" data-font="" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"●","469777815":"hybridMultilevel"}" data-aria-posinset="17" data-aria-level="1"><span data-contrast="none">Apply Clean Architecture or equivalent — design for testability and maintainability</span><span data-ccp-props="{"335559685":360,"335559738":40,"335559739":40}"> </span></li> </ul> <ul> <li data-leveltext="●" data-font="" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"●","469777815":"hybridMultilevel"}" data-aria-posinset="18" data-aria-level="1"><span data-contrast="none">Contribute to CI/CD pipelines, observability tooling, and deployment processes</span><span data-ccp-props="{"335559685":360,"335559738":40,"335559739":40}"> </span></li> </ul> <ul> <li data-leveltext="●" data-font="" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"●","469777815":"hybridMultilevel"}" data-aria-posinset="19" data-aria-level="1"><span data-contrast="none">Conduct code reviews, establish coding standards, and mentor junior engineers</span><span data-ccp-props="{"335559685":360,"335559738":40,"335559739":40}"> </span></li> </ul> <ul> <li data-leveltext="●" data-font="" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"●","469777815":"hybridMultilevel"}" data-aria-posinset="20" data-aria-level="1"><span data-contrast="none">Troubleshoot and optimize existing automation workflows and Python services<br></span> <p><strong><span data-contrast="none">Collaboration & Communication</span></strong><span data-ccp-props="{"335559738":200,"335559739":80}"> </span></p> <ul> <li data-leveltext="●" data-font="" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"●","469777815":"hybridMultilevel"}" data-aria-posinset="21" data-aria-level="1"><span data-contrast="none">Work closely with business analysts and stakeholders to understand process requirements</span><span data-ccp-props="{"335559685":360,"335559738":40,"335559739":40}"> </span></li> </ul> <ul> <li data-leveltext="●" data-font="" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"●","469777815":"hybridMultilevel"}" data-aria-posinset="22" data-aria-level="1"><span data-contrast="none">Participate in Agile ceremonies — sprint planning, retrospectives, and estimation</span><span data-ccp-props="{"335559685":360,"335559738":40,"335559739":40}"> </span></li> </ul> <ul> <li data-leveltext="●" data-font="" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"●","469777815":"hybridMultilevel"}" data-aria-posinset="23" data-aria-level="1"><span data-contrast="none">Communicate system constraints in product language; translate product needs into system boundaries</span><span data-ccp-props="{"335559685":360,"335559738":40,"335559739":40}"> </span></li> </ul> <ul> <li data-leveltext="●" data-font="" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"●","469777815":"hybridMultilevel"}" data-aria-posinset="24" data-aria-level="1"><span data-contrast="none">Surface quality metrics and model behaviour clearly to non-technical stakeholders</span><span data-ccp-props="{"335559685":360,"335559738":40,"335559739":40}"> </span></li> </ul> <p><span data-ccp-props="{"335559738":100,"335559739":100}"> </span></p> <p><strong><span data-contrast="none"><span data-ccp-parastyle="heading 1">Required Qualifications</span></span></strong><span data-ccp-props="{"335559738":320,"335559739":120,"335572079":6,"335572080":4,"335572081":680936,"469789806":"single"}"> </span></p> <ul> <li data-leveltext="●" data-font="" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"●","469777815":"hybridMultilevel"}" data-aria-posinset="25" data-aria-level="1"><span data-contrast="none">Bachelor's degree in Computer Science, Engineering, or related field</span><span data-ccp-props="{"335559685":360,"335559738":40,"335559739":40}"> </span></li> </ul> <ul> <li data-leveltext="●" data-font="" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"●","469777815":"hybridMultilevel"}" data-aria-posinset="26" data-aria-level="1"><span data-contrast="none">5–</span><span data-contrast="none">9</span><span data-contrast="none"> years of software engineering experience, with at least 4 years in Python</span><span data-ccp-props="{"335559685":360,"335559738":40,"335559739":40}"> </span></li> </ul> <ul> <li data-leveltext="●" data-font="" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"●","469777815":"hybridMultilevel"}" data-aria-posinset="27" data-aria-level="1"><span data-contrast="none">Strong Python skills — Pandas, NumPy, Flask/Django, async programming</span><span data-ccp-props="{"335559685":360,"335559738":40,"335559739":40}"> </span></li> </ul> <ul> <li data-leveltext="●" data-font="" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"●","469777815":"hybridMultilevel"}" data-aria-posinset="28" data-aria-level="1"><span data-contrast="none">Hands-on experience with LLM APIs (like Anthropic Claude, OpenAI, or Azure AI)</span><span data-ccp-props="{"335559685":360,"335559738":40,"335559739":40}"> </span></li> </ul> <ul> <li data-leveltext="●" data-font="" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"●","469777815":"hybridMultilevel"}" data-aria-posinset="29" data-aria-level="1"><span data-contrast="none">Prompt engineering experience — structured outputs, few-shot, chain-of-thought</span><span data-ccp-props="{"335559685":360,"335559738":40,"335559739":40}"> </span></li> </ul> <ul> <li data-leveltext="●" data-font="" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"●","469777815":"hybridMultilevel"}" data-aria-posinset="30" data-aria-level="1"><span data-contrast="none">2+ years of experience with SQL and NoSQL databases</span><span data-ccp-props="{"335559685":360,"335559738":40,"335559739":40}"> </span></li> </ul> <ul> <li data-leveltext="●" data-font="" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"●","469777815":"hybridMultilevel"}" data-aria-posinset="31" data-aria-level="1"><span data-contrast="none">Experience deploying applications on AWS — Lambda, SQS, S3, ECS</span><span data-ccp-props="{"335559685":360,"335559738":40,"335559739":40}"> </span></li> </ul> <ul> <li data-leveltext="●" data-font="" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"●","469777815":"hybridMultilevel"}" data-aria-posinset="32" data-aria-level="1"><span data-contrast="none">Knowledge of Docker, Git, and CI/CD pipelines (Jenkins or equivalent)</span><span data-ccp-props="{"335559685":360,"335559738":40,"335559739":40}"> </span></li> </ul> <ul> <li data-leveltext="●" data-font="" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"●","469777815":"hybridMultilevel"}" data-aria-posinset="33" data-aria-level="1"><span data-contrast="none">Familiarity with REST API design and tools like Swagger and Postman</span><span data-ccp-props="{"335559685":360,"335559738":40,"335559739":40}"> </span></li> </ul> <ul> <li data-leveltext="●" data-font="" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"●","469777815":"hybridMultilevel"}" data-aria-posinset="34" data-aria-level="1"><span data-contrast="none">Understanding of OCR/IDP tools — AWS Textract, UiPath Document Understanding, or ABBYY</span><span data-ccp-props="{"335559685":360,"335559738":40,"335559739":40}"> <br><br></span> <p><strong><span data-contrast="none"><span data-ccp-parastyle="heading 1">Desired Qualifications</span></span></strong><span data-ccp-props="{"335559738":320,"335559739":120,"335572079":6,"335572080":4,"335572081":680936,"469789806":"single"}"> </span></p> <ul> <li data-leveltext="●" data-font="" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"●","469777815":"hybridMultilevel"}" data-aria-posinset="35" data-aria-level="1"><span data-contrast="none">Experience with AI agent orchestration frameworks — LangChain, LlamaIndex, or MCP</span><span data-ccp-props="{"335559685":360,"335559738":40,"335559739":40}"> </span></li> </ul> <ul> <li data-leveltext="●" data-font="" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"●","469777815":"hybridMultilevel"}" data-aria-posinset="36" data-aria-level="1"><span data-contrast="none">Familiarity with evaluation frameworks for LLM outputs (precision, recall, F1 at field level)</span><span data-ccp-props="{"335559685":360,"335559738":40,"335559739":40}"> </span></li> </ul> <ul> <li data-leveltext="●" data-font="" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"●","469777815":"hybridMultilevel"}" data-aria-posinset="37" data-aria-level="1"><span data-contrast="none">NLP / text classification background</span><span data-ccp-props="{"335559685":360,"335559738":40,"335559739":40}"> </span></li> </ul> <ul> <li data-leveltext="●" data-font="" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"●","469777815":"hybridMultilevel"}" data-aria-posinset="38" data-aria-level="1"><span data-contrast="none">UiPath Associate or Advanced RPA Developer certification (or equivalent)</span><span data-ccp-props="{"335559685":360,"335559738":40,"335559739":40}"> </span></li> </ul> <ul> <li data-leveltext="●" data-font="" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"●","469777815":"hybridMultilevel"}" data-aria-posinset="39" data-aria-level="1"><span data-contrast="none">Exposure to Clean Architecture, DDD, or equivalent design patterns</span><span data-ccp-props="{"335559685":360,"335559738":40,"335559739":40}"> </span></li> </ul> <ul> <li data-leveltext="●" data-font="" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"●","469777815":"hybridMultilevel"}" data-aria-posinset="40" data-aria-level="1"><span data-contrast="none">Understanding of Agile/Scrum methodologies</span><span data-ccp-props="{"335559685":360,"335559738":40,"335559739":40}"> </span></li> </ul> <p><span data-ccp-props="{"335559738":100,"335559739":100}"> </span></p> <p><strong><span data-contrast="none"><span data-ccp-parastyle="heading 1">What Good Looks Like</span></span></strong><span data-ccp-props="{"335559738":320,"335559739":120,"335572079":6,"335572080":4,"335572081":680936,"469789806":"single"}"> </span></p> <ul> <li data-leveltext="●" data-font="" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"●","469777815":"hybridMultilevel"}" data-aria-posinset="41" data-aria-level="1"><span data-contrast="none">Prompt as specification — treats prompts like contracts: precise, unambiguous, edge-case-aware from the start</span><span data-ccp-props="{"335559685":360,"335559738":40,"335559739":40}"> </span></li> </ul> <ul> <li data-leveltext="●" data-font="" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"●","469777815":"hybridMultilevel"}" data-aria-posinset="42" data-aria-level="1"><span data-contrast="none">Verification instinct — reads AI output critically; catches the subtly wrong answer before it becomes a data quality incident</span><span data-ccp-props="{"335559685":360,"335559738":40,"335559739":40}"> </span></li> </ul> <ul> <li data-leveltext="●" data-font="" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"●","469777815":"hybridMultilevel"}" data-aria-posinset="43" data-aria-level="1"><span data-contrast="none">Evaluation-first mindset — doesn't trust a prompt in production without a test suite; builds measurement as part of the feature</span><span data-ccp-props="{"335559685":360,"335559738":40,"335559739":40}"> </span></li> </ul> <ul> <li data-leveltext="●" data-font="" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"●","469777815":"hybridMultilevel"}" data-aria-posinset="44" data-aria-level="1"><span data-contrast="none">Engineering rigour — applies the same discipline to Python services as to LLM pipelines; Clean Architecture is the default, not the exception</span><span data-ccp-props="{"335559685":360,"335559738":40,"335559739":40}"> </span></li> </ul> <ul> <li data-leveltext="●" data-font="" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"●","469777815":"hybridMultilevel"}" data-aria-posinset="45" data-aria-level="1"><span data-contrast="none">Communication range — can speak to a non-technical ops manager and a distributed system design at the same level of precision</span><span data-ccp-props="{"335559685":360,"335559738":40,"335559739":40}"> </span></li> </ul> <p><span data-ccp-props="{"335559738":100,"335559739":100}"> </span></p> </li> </ul> </li> </ul> </li> </ul> </li> </ul><div class="content-conclusion"><p><strong data-stringify-type="bold">GHX: It's the way you do business in healthcare</strong><br>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.</p> <p>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.</p> <p>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.</p> <p><strong data-stringify-type="bold"><em data-stringify-type="italic">Disclaimer</em></strong><br><em data-stringify-type="italic">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.</em><em data-stringify-type="italic">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.</em></p> <p><em data-stringify-type="italic">Read our <a href="https://www.ghx.com/privacy-notice-for-personnel-and-applicants/" target="_blank">GHX Privacy Policy</a></em></p></div>