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Mid-level AI/LLM role in a metro hub with popular skills increases qualified applicant density.
Core LLM, Python, and cloud skills are transferable, but document-processing and compliance needs increase domain specificity.
Explicit years, LLM/document-processing mandates, and cloud tech stack create stringent screening filters.
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Develop, test, and deploy AI agents using AWS Bedrock to automate regulated and semi-regulated business processes.
Build and maintain document-processing pipelines leveraging OCR and Intelligent Document Processing to extract structured data from enterprise documents.
Integrate AI services with Microsoft Graph API and maintain agent configurations, prompts, and guardrails to ensure compliant and reliable AI behavior.
3–5 years of software development experience with at least 1–2 years in Generative AI or LLM-based applications.
Proficiency in Python, REST API development, and AWS services including AWS Bedrock and Fargate.
2+ years of experience with document processing technologies such as OCR or Intelligent Document Processing (e.g., AWS Textract).
Experience integrating AI with enterprise APIs like Microsoft Graph API and familiarity with cloud-native event-driven microservice architectures.
Experienced in building scalable, production-ready AI solutions within regulated or semi-regulated industries such as financial services, insurance, or healthcare.
Demonstrates strong expertise in AI agent development, prompt engineering, and AI governance or responsible AI principles.
Skilled in cloud-native application deployment (AWS, containerization) and continuous integration practices, with a focus on quality, security, and compliance.