Gen AI Developer

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:

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.