Software Engineer III
Hands-on Python engineer on GHX's Intelligent Process Automation team, building LLM-powered document extraction pipelines for healthcare procurement documents (purchase orders, invoices, contracts). Core stack: Python, LLM APIs (Anthropic/OpenAI/Azure AI), AWS, and OCR/IDP tooling, plus evaluation infrastructure for production quality.
- Compensation
- Not disclosed
- Location
- Hyderabad, India
- Work setup
- Onsite
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 2+ years
- Category
- Software engineering
- Posted
Skills
Must have
- 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 (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
Nice to have
- 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
Full description
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 ResponsibilitiesPython 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