Gen AI Developer

Gen AI Developer

• 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. • 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.