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Niche LLM/agent skillset reduces broad applicant pool, but mid-level metro role increases competition.
Core LLM and document-processing skills are transferable, though regulated industry experience increases domain sensitivity.
Explicit years plus mandatory LLM, document-processing and AWS experience create stringent screening.
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Develop and deploy AI agents on AWS Bedrock targeting automation of regulated and semi-regulated business processes, including document generation, data validation, and case intake workflows.
Build and maintain document-processing pipelines using OCR and Intelligent Document Processing to extract and validate structured information from enterprise documents, integrating these into AI workflows.
Collaborate with cross-functional teams to test, optimize, and deliver production-ready AI and document-processing solutions ensuring reliability and compliance.
3–5 years of software development experience including 1–2 years with Generative AI or LLM-based applications.
Proficient in Python and REST API development with working knowledge of AWS services such as Bedrock, Lambda, and Fargate.
At least 2 years experience with document processing technologies like OCR, AWS Textract, or equivalents.
Experience integrating APIs like Microsoft Graph API in enterprise environments.
Experience working in regulated industries such as financial services, insurance, or healthcare to handle compliance and security considerations.
Strong expertise in prompt engineering, AI agent frameworks, and event-driven microservices architecture for scalable AI solutions.
Ability to operate in agile development environments with skills in CI/CD pipelines, Git, and containerized applications like Docker.