Agentic AI Developer

Aitomic Jobs; Chennai District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Sutherland is seeking an Agentic AI Developer in Chennai, India, to design, test, and deploy AI agents on AWS Bedrock that automate regulated business processes. You will build document-processing pipelines, extract structured data from enterprise documents, and integrate outputs into AI-driven workflows, collaborating with solution architects and QA teams.

Role focuses on reliability, security, and compliance, with hands-on Python and REST API work, containerized deployments, and scalable,

Qualifications

• 3–5 years of software development experience, with 1–2 years in Generative AI or LLM applications.
• Hands-on Python and REST API development experience.
• Working knowledge of AWS services (Bedrock, Lambda, ECS/Fargate, SQS/SNS).

Responsibilities

• Develop AI agents on AWS Bedrock for document generation and data validation.
• Build and maintain document-processing pipelines using OCR/IDP tech.
• Integrate AI services with Microsoft Graph API for Teams messaging and file handling.
• Perform testing to validate accuracy, performance, and compliance.
• Collaborate with architects, QA, and business stakeholders to deliver production-ready solutions.

Skills

Python

REST API development

Generative AI

LLM orchestration

Docker

Git

Agile development

API integrations

Tools

AWS Bedrock

MS Graph API

Fargate

OCR/IDP

Docker

AWS Textract

Job description

Short Summary

Agentic AI Developer with Sutherland. 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…

Key Details

• Position / opportunity: Agentic AI Developer
• Organization: Sutherland
• Country / coverage: India
• Location: Chennai, TN, India
• Work arrangement: On-site
• Opportunity type: Jobs
• Sector: Health
• Compensation: Not specified
• Duration: Not specified
• Start date: 2026-08-18
• Application deadline: Not specified

Description

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.

Responsibilities

• 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.

Requirements / Eligibility

• 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.