AWS + Gen AI

Infosys; Hyderabad, Chennai District, Bengaluru; Hybrid; INR 1,200,000 - 2,400,000; Full time

Job summary

Infosys is seeking a Generative AI Engineer with hands-on AWS Cloud and data engineering expertise. The role focuses on designing, developing, and deploying GenAI solutions leveraging LLMs, RAG, and scalable data pipelines.

You will design, build, and optimize AI applications, integrate models via REST APIs, and collaborate with data engineers, scientists, and business stakeholders to deliver enterprise-grade AI solutions.

Qualifications

• 2-5 years of Generative AI/GenAI experience, cloud-first design
• Hands-on AWS Cloud experience with data pipelines
• Experience building enterprise-grade AI applications and scalable ETL/ELT pipelines

Responsibilities

• Design, develop, and deploy Generative AI apps using AWS services
• Build and optimize RAG-based solutions with enterprise data sources
• Develop scalable ETL/ELT pipelines for AI workloads
• Fine-tune, evaluate, and deploy LLMs and foundation models
• Integrate AI models with enterprise apps via REST APIs</br>and microservices
• Manage structured and unstructured data for AI use cases
• Apply prompt engineering and model optimization techniques
• Collaborate with Data Engineers, Data Scientists, and stakeholders
• Monitor model performance, scalability, and reliability
• Follow MLOps best practices for deployment, governance, and monitoring

Skills

AWS

GenAI

Data Engineering

LLMs

RAG

ETL/ELT

MLOps

APIs

Tools

Vector databases

REST APIs

Job description

Role: Generative AI Engineer AWSExperience: 2-5 YearsEmployment Type: Full-Time

Job Summary:

We are seeking a talented Generative AI Engineer with hands-on experience in AWS Cloud and a strong Data Engineering background. The ideal candidate will be responsible for designing, developing, and deploying GenAI solutions leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and scalable data pipelines. Experience in building enterprise-grade AI applications, working with cloud-native services, and processing large-scale datasets is highly preferred.

Key Responsibilities

• Design, develop, and deploy Generative AI applications using AWS cloud services.
• Build and optimize RAG-based solutions using enterprise data sources and vector databases.
• Develop scalable ETL/ELT pipelines to support AI and analytics workloads.
• Fine-tune, evaluate, and deploy LLMs and foundation models.
• Integrate AI models with enterprise applications through REST APIs and microservices.
• Process and manage structured and unstructured datasets for AI use cases.
• Implement prompt engineering and model optimization techniques.
• Collaborate with Data Engineers, Data Scientists, and Business stakeholders to deliver AI-driven solutions.
• Monitor model performance, scalability, reliability, and operational efficiency.
• Follow MLOps best practices for model deployment, versioning, governance, and monitoring.