AI Engineer (AWS GenAI)

Role & responsibilities

• 5 to 8 years of experience
• Production GenAI experience with Amazon Bedrock, Langchain /Langraph, SageMaker and/or equivalent platforms; hands-on experience with RAG, embeddings, vector stores, prompt engineering and AI agents/AgentCore.
• Strong hands-on AWS experience, particularly serverless and cloud-native services such as Lambda, API Gateway, DynamoDB, Step Functions, EventBridge and S3.
• Strong Python development skills, with experience building production-grade AI/ML applications and APIs.
• Strong understanding of RAG architectures, agentic workflows, vector databases, model integration, and LLM application optimization.
• IaC and DevOps fluency using CDK/Terraform, CI/CD pipelines, containerization and production deployment practices.
• AWS Certification(s) such as Developer, Solutions Architect, Machine Learning or Generative AI Engineer would be strongly preferred.