Agentic AI Developer
Sutherland14 days ago
Chennai, IndiaMid Level / Senior
Responsibilities
- Develop AI agents on AWS Bedrock for document generation, data validation, and case-intake use cases.
- Implement agent business logic using AWS Fargate and event-triggered workflows.
- Integrate AI services with Microsoft Graph API and Microsoft Teams for messaging, file handling, and delivery of agent outputs.
- Create and maintain prompts, agent configurations, guardrails, and AI workflow logic.
- Develop document-processing services and extraction pipelines for structured and semi-structured documents using OCR and Intelligent Document Processing technologies.
- Integrate third-party document extraction tools and improve extracted-data quality for business and audit requirements.
- Perform unit and integration testing, troubleshoot workflows, and optimize agent accuracy, performance, and response quality.
- Collaborate with solution architects, QA teams, and business stakeholders to deliver and deploy production-ready AI solutions.
- Document and support production deployment of document-processing services.
Requirements
- 3–5 years of software development experience, including 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, AI agent frameworks, or LLM orchestration tools.
- Experience building enterprise API integrations such as Microsoft Graph API.
- 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 and microservices.
- Experience using 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, security best practices, Docker, containerized applications, and enterprise chatbot or conversational AI solutions.
- Strong analytical, problem-solving, collaboration, communication, quality, security, and compliance skills.