Infosys Hiring for Gen AI Developer

PDTV Jobs; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

PDTV Jobs in Bengaluru is seeking a proficient Python engineer to design scalable GenAI-enabled applications and cloud infrastructure. You will collaborate with data scientists and product teams to integrate AI models into domain-specific apps.

The role emphasizes modular design, parallel processing, and secure deployments with Terraform, Docker, and Kubernetes in a cloud-native setup.

Qualifications

• Bachelor of Engineering required or equivalent technical degree.
• Strong Python experience with scalable, modular design.
• Experience deploying GenAI/ML solutions in cloud environments.
• Familiarity with IaC, CI/CD, and secure cloud deployments.

Responsibilities

• Develop scalable Python applications for GenAI deployments.
• Design modular architectures and asynchronous workflows.
• Build cloud infra using AWS services (S3, Lambda, DynamoDB, ECS, EKS).
• Automate infrastructure provisioning with Terraform.
• Collaborate with data scientists and product teams to integrate AI models.
• Ensure production-grade scalability, reliability, and security.
• Monitor performance with AWS CloudWatch and optimize setups.
• Stay current with GenAI, cloud, MLOps and DevOps trends.

Skills

Python programming

Parallel processing

GenAI concepts

Education

Bachelor of Engineering

Tools

AWS

Terraform

Docker

Kubernetes

LangChain

LangGraph

Job description

Educational Requirements

Bachelor of Engineering

Responsibilities

• Strong Python proficiency with experience in FastAPI, asyncio, modular application design, and parallel processing.
• Develop scalable and modular Python applications for deploying generative AI solutions.
• Build and manage cloud infrastructure using AWS services (S3, Lambda, DynamoDB, ECS, EKS).
• Automate infrastructure provisioning and configuration using Terraform.
• 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.

Technical and Professional Requirements

• 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.
• Skilled in Infrastructure as Code (IaC) using Terraform.
• 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.

Preferred Skills

• Technology->AI-Data science->Data Science – Basic
• Technology->AI-Data science->Machine Learning
• Technology->AI-Generative AI->Generative AI – Basic->retrieval augmented generation (rag)
• Technology->AI-Generative AI->Prompt Engineering