Agentic Generative Ai Developer Sutherland Global Services Inc Chennai

vibehackers; Chennai District; On-site; INR 2,200,000 - 3,600,000; Full time

Job summary

Agentic Generative AI Developer role at Sutherland Global Services Inc in Chennai focuses on building production-grade agentic AI and generative AI applications by transforming architecture into scalable, reliable components. This role emphasizes RAG pipelines and model lifecycle practices across cloud platforms.

The candidate will design, implement, and deploy agent-based systems with LangChain/LangGraph, ensure performance, and drive integration with APIs while maintaining best practices for

Qualifications

• Strong Python and hands-on AI/ML engineering experience.
• Experience with LLMs, Transformer models and agentic AI frameworks.
• Familiarity with prompt engineering, API integration and model orchestration.
• Experience with RAG architectures and vector databases.
• Working knowledge of SQL/NoSQL databases and data warehousing.
• CI/CD, Docker and Kubernetes for model lifecycle management.
• Cloud deployments on AWS, Azure or GCP.

Responsibilities

• Develop, test, and maintain Agentic AI workflows using LangChain/LangGraph.
• Implement and enhance RAG pipelines and knowledge retrieval systems.
• Preprocess data, feature engineer, and optimize models for production.
• Integrate with APIs and enable agent-to-agent communication.
• Build reusable GenAI modules and enforce coding best practices.
• Manage cloud deployments on AWS/Azure/GCP and CI/CD pipelines.
• Utilize Docker/Kubernetes for model lifecycle management.
• Debug performance bottlenecks and ensure system reliability.
• Stay updated on advances in LLMs and autonomous agents.

Skills

Python

AI/ML engineering

LLMs

LangChain

LangGraph

Prompt engineering

API integration

Model orchestration

Docker

Kubernetes

Education

Bachelor’s or Master’s in Computer Science, Engineering, Data Science

Tools

LangChain

LangGraph

Docker

Kubernetes

AWS

Azure

GCP

SQL

NoSQL

Job description

Agentic Generative Ai Developer Sutherland Global Services Inc Chennai

Explicitly requires vibe coding skills—building autonomous agents and RAG pipelines with LangChain/LangGraph and modern GenAI tooling.

About the Role

Build and deploy production-grade Agentic and generative AI applications by transforming architecture into scalable solutions, optimizing AI workflows, and managing cloud deployments. The role focuses on implementing agent-based systems, RAG pipelines, and model lifecycle practices using modern AI frameworks and cloud platforms.

Job Description

Role

The Technical Developer will design, build, and deploy Agentic AI and generative AI applications, converting AI architecture into scalable, production-ready components. The role emphasizes implementation of agent-based systems, retrieval-augmented generation (RAG) pipelines, and knowledge retrieval systems while ensuring performance, reliability, and maintainability.

Key Responsibilities

• Develop, test, and maintain Agentic AI workflows using frameworks such as LangChain and LangGraph.
• Implement and enhance RAG pipelines, agent-based applications, and knowledge retrieval systems.
• Perform data preprocessing, feature engineering, and model optimization for production use.
• Integrate with APIs and orchestrate models and agents; enable agent-to-agent communication (MCP).
• Build reusable GenAI modules and enforce coding best practices across teams.
• Manage cloud-based deployments and operations on AWS, Azure, or GCP.
• Use CI/CD, Docker, and Kubernetes to manage model lifecycle and deployments.
• Debug and resolve system bottlenecks to ensure performance and reliability.
• Stay current with advancements in LLMs, Transformer models, autonomous agents, and GenAI techniques.

Requirements

• Strong coding background in Python and hands-on AI/ML engineering experience.
• Proven experience working with LLMs, Transformer models, and agentic AI frameworks.
• Familiarity with prompt engineering, API integration, and model orchestration.
• Practical experience with RAG architectures and vector databases.
• Working knowledge of SQL and NoSQL databases, data warehousing, and analytical querying.
• Experience with CI/CD practices, Docker, and Kubernetes for model lifecycle management.
• Experience managing cloud deployments on AWS, Azure, or GCP.
• Strong debugging, performance optimization, and collaboration skills.

Preferred Qualifications

• Experience with LangGraph or similar agent orchestration toolkits.
• Exposure to enterprise-grade AI applications in domains such as finance, healthcare, or e-commerce.

Experience & Education

• 3-7 years of relevant experience in AI/ML or full-stack AI solution development.
• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.