Gen AI Platform Engineer

Roles and Responsibilities :

• 6–9 years of software engineering/platform engineering experience.
• Minimum 2–4 years of hands-on Generative AI platform development experience.
• Experience deploying GenAI solutions in production environments.
• Experience working with enterprise-scale cloud platforms.

Familiarity with NVIDIA AI Enterprise ecosystem.

Experience with AI Governance and Responsible AI frameworks

Able to set up Authentication and Authorization in Gen AI platform

Experience in AWS services like Document Db, API Gateway, Lambda, Cognito, Open search, ECS Fargate, Postgresql, EC2, S3.

Able to set up LLMOps in Gen AI platform

Key Qualifications:

Should have mandatory experience on AWS (Bedrock) and GCP (Vertex AI) infrastructure platform extensively

Able to design solution for Platform High Availability with AWS services.

Proficiency in implementing AI model lifecycle management and CI/CD pipelines with Github, gitlab, ECS, EKS.

Build and enable LLMOps pipe lines for prompt management.

Experience working with Docker & containerized deployments.

Experience on other AWS services like Lambda, S3, Sage maker, Open search, Document db and Pos