Agentic AI Developer

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Skills you'll use

What you'll do

• Agent Development
• Develop AI agents on AWS Bedrock (Amazon Nova and other foundation models) for document generation, data validation, and case intake use cases.
• Implement business logic using AWS Fargate following established service patterns (e.g., email-triggered and chatbot-triggered workflows).
• Integrate AI services with Microsoft Graph API for Microsoft Teams messaging, file handling, and delivery of agent outputs.
• Develop and maintain prompts, agent configurations, and guardrails to ensure reliable and compliant AI behavior.
• Perform unit and integration testing to validate agent accuracy, performance, and response quality.
• Troubleshoot, optimize, and enhance AI agent workflows based on testing results and user feedback.
• Collaborate with solution architects, QA teams, and business stakeholders to deliver production-ready AI solutions.
• Document Processing
• Develop and maintain document-processing services using AWS Fargate.

Who can apply

• Build extraction pipelines for structured and semi-structured documents using OCR and Intelligent Document Processing (IDP) technologies.
• Integrate third-party document extraction tools into AI workflows.
• Support validation and quality improvements of extracted data to meet business and audit requirements.
• Optimize document extraction accuracy through testing and continuous improvements.
• Assist in deploying document-processing services into production environments.
• 3–5 years of software development experience, with at least 1–2 years developing Generative AI or LLM-based applications.
• Hands-on experience with Python and REST API development.
• Working knowledge of AWS services, preferably AWS Bedrock, Lambda, ECS/Fargate, SQS, SNS, or similar cloud-native services.

About Sutherland

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