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 Swag…