Description

You will lead the development and deployment of generative AI solutions.

Responsibilities

• 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.

Required Skills

• 5+ years of professional experience.
• Strong Python proficiency, including FastAPI, asyncio, and modular application design.
• Hands-on experience with GenAI frameworks such as LangChain, LangGraph, and Prompt Engineering.
• Proficiency in AWS cloud services (S3, Lambda, DynamoDB, ECS, EKS).
• Experience with Infrastructure as Code (IaC) using Terraform.
• Familiarity with containerization using Docker and orchestration with Kubernetes.
• Experience with CI/CD pipelines and DevOps principles.
• Familiarity with code quality tools (pylint, black, mypy, pytest, SonarQube).
• Understanding of parallel processing in Python (multiprocessing, concurrent.futures, dask).

Key Skills

Education

Any Gradute