Agentic AI Developer

Sutherland Global; Chennai District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Sutherland Global is hiring for an AI/LLM software engineer in Chennai to develop, test, and deploy AI agents that automate regulated business processes on AWS Bedrock. You will build document-processing pipelines, leverage OCR/IDP tools, and integrate with Microsoft Graph API for Teams delivery.

The role requires 3–5 years in software dev with 1–2 years in Generative AI, Python REST APIs, and AWS services.

Qualifications

• 3–5 years of software development experience, with 1–2 years in Generative AI or LLM apps.
• Hands-on Python and REST API development experience.
• Working knowledge of AWS services, preferably Bedrock, Lambda, ECS/Fargate, SQS, SNS.
• Experience with prompt engineering, RAG, AI agent frameworks, or LLM orchestration tools.
• Experience building integrations using APIs like Microsoft Graph API.
• 2+ years in document processing, OCR, or IDP solutions (Textract, Azure Doc Intelligence).
• Familiarity with event-driven architecture, microservices, Git, CI/CD, and Agile methods.

Responsibilities

• Develop AI agents on AWS Bedrock for document generation, data validation, and case intake use cases.
• Implement business logic using AWS Fargate with service patterns (email- and chatbot-triggered workflows).
• Integrate AI services with Microsoft Graph API for Teams messaging and file handling.
• Develop and maintain prompts, configurations, and guardrails for reliable AI behavior.
• Perform unit and integration testing to validate accuracy and performance.
• Troubleshoot and optimize AI agent workflows based on feedback and tests.
• Collaborate with architects, QA, and stakeholders to deliver production-ready AI solutions.
• Develop and maintain document-processing services using AWS Fargate.

Skills

Python

REST API development

Prompt engineering

LLM orchestration

Agile methodologies

Git

CI/CD

Problem solving

Tools

AWS Bedrock

AWS Lambda

AWS ECS/Fargate

SQS

SNS

Microsoft Graph API

OCR/IDP tools

Textract/Azure Document Intelligence

Docker

Job description

Company Description:

About Sutherland

Artificial Intelligence. Automation.Cloud engineering. Advanced analytics.For business leaders, these are key factors of success. For us, they’re our core expertise.

We work with iconic brands worldwide. We bring them a unique value proposition through market-leading technology and business process excellence.

We’ve created over 200 unique inventions under several patents across AI and other critical technologies. Leveraging our advanced products and platforms, we drive digital transformation, optimize critical business operations, reinvent experiences, and pioneer new solutions, all provided through a seamless “as a service” model.

For each company, we provide new keys for their businesses, the people they work with, and the customers they serve. We tailor proven and rapid formulas, to fit their unique DNA.We bring together human expertise and artificial intelligence to develop digital chemistry. This unlocks new possibilities, transformative outcomes and enduring relationships.
Sutherland

Unlocking digital performance. Delivering measurable results.

Job 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.

Qualifications:

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.