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Mid-level AI agent role in metro with cloud and LLM skills creates moderate candidate competition.
AI agent and regulated-domain document processing require specialized skills, limiting cross-industry transferability.
Explicit 3–5 years, mandatory LLM and document-processing experience, and cloud tech filters make shortlisting strict.
Develop, test, and deploy AI agents on AWS Bedrock automating regulated and semi-regulated business processes, focusing on document generation, data validation, and case intake.
Build and maintain document-processing pipelines using OCR and Intelligent Document Processing technologies integrating third-party extraction tools into AI workflows.
Collaborate with architects, QA, and stakeholders to deliver production-ready AI solutions ensuring compliance, quality, and optimized performance.
3–5 years of software development experience; at least 1–2 years with Generative AI or LLM-based applications.
Hands-on experience with Python, REST API development, and AWS services including AWS Bedrock, Lambda, ECS/Fargate.
2+ years of experience with document processing, OCR, or Intelligent Document Processing solutions (e.g., AWS Textract).
Experience integrating APIs such as Microsoft Graph API and working knowledge of event-driven architecture and microservices.
Experienced in building AI agent workflows in cloud-native, event-driven environments with microservices architecture.
Skilled at integrating AI models with enterprise platforms and document extraction tools in regulated or compliance-focused industries.
Comfortable optimizing AI agent performance and document extraction accuracy through testing, prompt engineering, and continuous improvement processes.