AI Engineer- AWS

AI Engineer- AWS

 Know-how of the AWS technology stacks and services. Familiar with other cloud providers and technology is a plus.
 Fundamental experience building applications using services provided by AWS such as API Gateway, EC2, AWS lambda , ECS, EKS (is a plus), ECR, etc.
 Experience on building Serverless Architecture solutions using Docker, Lambda, ECS, EKS, etc. and Microservice Architecture.
 Having certifications like AWS Solutions Architect or other equivalent is a plus.
 Experience working with Node.js, ReactJS, NextJS, NestJS, Typescript, MERN equivalent stacks.
 Experience working with Go Lang is a plus.
 Having knowledge about WebRTC is a plus.
 Experience working with Contact Center is a plus.
 Experience working with building GenAI applications and have experience with GenAI Knowledge, such as. Context, Token, Completions, Temperature, RAG, Hallucination, etc.
 Experience working with LangChain, LangGraph and Python.
 Experience working with Google ADK is a strong plus.
 Experience working with Text-to-Speech, Speech-to-Text and Speech-to-Speech is a plus.
 Experience working with NoSQL databases such as MongoDB, DynamoDB, etc.
 Experience working with CI/CD tooling such as BitBucket pipeline
 Experience working with Unit Testing tools such as Jest/Playwright/Cypress.
 Experience working with Infrastructure-as-a-Code (IaC) such as Terraform.
 Knowledge in source code repository and branching models in Git and usage of tools such as GitHub, GitLab, BitBucket etc.
 Working knowledge of Agile and/or Lean methodologies along with tools such as Confluence, JIRA and Sharepoint.
 Demonstrated exceptional written and verbal communication skills.