Generative AI Engineer

Infosys; Chennai District; On-site; INR 1,200,000 - 1,400,000; Full time

Job summary

A leading IT services company located in Chennai seeks a skilled individual to design and implement GenAI solutions using advanced frameworks and develop scalable Python applications. The role involves managing cloud infrastructure on AWS and ensuring the reliability and performance of these systems while collaborating with various teams. Ideal candidates should possess strong proficiency in Python, familiarity with GenAI frameworks, and AWS services.

Qualifications

• Strong proficiency in Python with experience in FastAPI, asyncio, and modular design.
• Hands-on experience with GenAI frameworks like LangChain and LangGraph.
• Proficient in AWS services and cloud-native architecture.

Responsibilities

• Design and implement GenAI solutions using various frameworks.
• Develop scalable Python applications for generative AI.
• Manage and build AWS cloud infrastructure.

Skills

Strong Python proficiency

FastAPI

AWS cloud services

GenAI frameworks (LangChain, LangGraph)

CI/CD pipelines

Docker

Kubernetes

Security best practices

Analytical skills

Communication skills

Tools

AWS services (S3, Lambda, DynamoDB)

Code quality tools (pylint, black, mypy)

Job description

Responsibilities

• Design and implement GenAI solutions using cutting‑edge frameworks (e.g., Transformers, LangChain, LangGraph, AWS Bedrock, Agentcore).
• Develop scalable and modular Python applications for deploying generative AI solutions.
• Build and manage cloud infrastructure using AWS services (S3, Lambda, DynamoDB, ECS, EKS).
• Collaborate with data scientists, ML engineers, and product teams to integrate AI models into domain‑specific applications.
• Ensure production‑grade scalability, reliability, and security of GenAI systems.
• Monitor and optimize system performance using tools like AWS CloudWatch.
• Stay updated with advancements in GenAI, cloud computing, MLOps, and DevOps.
• Contribute to code reviews, documentation, and Python development best practices.

Required Skills

• Strong Python proficiency with experience in FastAPI, asyncio, modular application design, and parallel processing
• Familiarity with Python parallel processing modules such as multiprocessing, concurrent.futures, dask for efficient parallel and distributed computing
• Hands‑on experience with GenAI frameworks such as LangChain, LangGraph, and Prompt Engineering
• Proficient in AWS cloud services and cloud‑native architecture
• Familiar with CI/CD pipelines, Docker, and Kubernetes
• Familiarity with code quality tools such as pylint, black, isort, mypy, pytest, SonarQube, SonarLint, and Black Duck for linting, formatting, testing, static analysis, and open‑source security compliance
• Solid understanding of security best practices in cloud and AI deployments
• Excellent analytical and communication skills
• Should be able to network within GenAI team and with other teams as enablement trib