Career Opportunities
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.
If this opportunity aligns with your career goals, kindly share your updated resume with us at hr@simelabs.com