Agentic AI Developer

6 days ago

Chennai, IndiaMid Level / Senior

Responsibilities

Develop and deploy AI agents on AWS Bedrock using Amazon Nova and other foundation models.
Implement document generation, data validation, case intake, and chatbot- or email-triggered workflows.
Build business logic and document-processing services using AWS Fargate.
Integrate AI workflows with Microsoft Graph API and Microsoft Teams for messaging, file handling, and delivery of outputs.
Create and maintain prompts, agent configurations, and guardrails for reliable and compliant AI behavior.
Build extraction pipelines for structured and semi-structured documents using OCR and Intelligent Document Processing technologies.
Perform unit and integration testing, troubleshoot workflows, and improve agent accuracy, performance, and response quality.
Collaborate with solution architects, QA teams, and business stakeholders to deliver and deploy production-ready solutions.
Support validation, audit-quality improvements, and production deployment of document-processing services.

3–5 years of software development experience, including 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, AI agent frameworks, or LLM orchestration tools.
Experience integrating APIs such as Microsoft Graph API or similar enterprise platforms.
At least 2 years of experience with document processing, OCR, or Intelligent Document Processing solutions such as AWS Textract or Azure Document Intelligence.
Familiarity with event-driven application architecture, microservices, Git, CI/CD pipelines, and Agile development methodologies.
Preferred experience in financial services, insurance, healthcare, or other regulated industries.
Preferred familiarity with AI evaluation, prompt optimization, model monitoring, vector databases, semantic search, AI governance, responsible AI, and security best practices.
Preferred experience with Docker, containerized applications, enterprise chatbots, or conversational AI solutions.

10,000+ employees