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Mid-level, metro location with niche LLM and Python requirements creates moderate applicant density.
Skills like LLM integration, Python, AWS, and OCR/IDP are broadly transferable across industries.
Explicit 5–9 year requirement plus mandatory Python, AWS, LLM and DB experience enforces strict filters.
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Develop and maintain Python-based automation services and Intelligent Process Automation workflows for healthcare document extraction.
Integrate and manage Large Language Model (LLM) APIs (Anthropic Claude, OpenAI, Azure AI) into production pipelines, including prompt engineering and lifecycle management.
Build and own AI evaluation pipelines, confidence scoring, and production-grade APIs deployed on AWS services (Lambda, ECS, SQS, S3).
Bachelor's degree in Computer Science, Engineering, or related field.
5–9 years of software engineering experience, with at least 4 years in Python development.
Hands-on experience with LLM APIs and prompt engineering; experience with SQL and NoSQL databases.
Experience deploying applications on AWS (Lambda, SQS, S3, ECS); Familiarity with REST API design and OCR/IDP tools (AWS Textract, UiPath, ABBYY).
Proficient in designing prompts as precise, unambiguous specifications and validating AI outputs critically to ensure data quality.
Experienced in implementing engineering best practices including Clean Architecture and CI/CD for maintainable, testable code.
Skilled at communicating complex technical concepts and AI output behavior clearly to both technical and non-technical stakeholders.