GEN AI Requirement

Key Responsibilities:

Required Skills:

Design and implement GenAI solutions using cutting-edge frameworks (e.g. Transformers LangChain LangGraph AWS Bedrock).
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.
Familiarity with Python parallel processing modules such as multiprocessing 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.
Excellent analytical and communication skills.
Should be able to network within GenAI team and with other teams as enablement tribe