AI Engineer Intern

Batch: .

About the role:

• This is a remote, work from home position for a candidate with 2 to 3 years of experience.
• The role sits within a team building scalable AI-powered backend systems and enterprise integrations.

• Designing and building LLM-powered agents alongside scalable backend services.
• Architecting and optimizing end-to-end RAG pipelines.
• Working with MCP and multi-agent workflows.
• Building integrations with enterprise platforms through APIs and webhooks.
• Developing bulk data pipelines and usage analytics.
• Working across AWS services including Lambda, ECS or EKS, S3, DynamoDB, Open Search and SQS.
• Building secure, production-grade APIs and services.
• Working with authentication and identity standards including OAuth 2.0, SAML and OIDC.
• Delivering scalable AI and backend solutions in collaboration with product and engineering teams.

• Experience with AWS Bedrock and models from providers such as OpenAI or Anthropic.
• Advanced knowledge of RAG techniques and vector databases such as Open Search, Pinecone or pgvector.
• Experience with Lang Chain or Llama Index, MCP and multi-agent systems.
• Strong Python skills along with FastAPI or Flask.
• Familiarity with REST and GraphQL APIs.
• Knowledge of OAuth 2.0, SAML and OIDC.
• Experience with infrastructure as code tools such as Terraform or AWS CDK.