Agentic AI Developer

Role Summary

Develop, test, and deploy AI agents that automate regulated and semi-regulated business processes using AWS Bedrock. Build and maintain document-processing pipelines that extract structured information from enterprise documents and integrate it into AI-driven workflows, helping replace manual processes with intelligent automation.

Key Responsibilities

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.
• 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.

Required Experience

• 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.
• Experience with prompt engineering, Retrieval-Augmented Generation (RAG), AI agent frameworks, or LLM orchestration tools.
• Experience building integrations using APIs such as Microsoft Graph API or similar enterprise platforms.
• 2+ years of experience with document processing, OCR, or Intelligent Document Processing solutions such as AWS Textract, Azure Document Intelligence, or equivalent.
• Familiarity with event-driven application architecture and microservices.
• Experience using Git, CI/CD pipelines, and Agile development methodologies.

Preferred Qualifications

• Experience with financial services, insurance, healthcare, or other regulated industries.
• Familiarity with AI evaluation, prompt optimization, and model monitoring.
• Exposure to vector databases and semantic search technologies.
• Understanding of AI governance, responsible AI principles, and security best practices.
• Experience working with Docker and containerized applications.
• Exposure to enterprise chatbot or conversational AI solutions.

Key Competencies

• Strong analytical and problem-solving skills.
• Ability to build scalable and maintainable AI solutions.
• Effective collaboration and communication skills.
• Attention to quality, security, and compliance.
• Continuous learning mindset with interest in emerging AI technologies.