- Robust 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.
- 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.

📌 Gen AI Developer (Bengaluru)
🏢 Infosys
📍 Bengaluru