Software Development Engineer, AWS Marketing, Data Science & Engineering (D:SE)
Core
Build and scale next-generation MLOps and agentic AI systems that power marketing decisions at AWS scale.
Role type
Senior Software Development Engineer (MLOps & Agentic AI)
Builds
Serverless, AWS-native agentic AI systems, retrieval pipelines, and production ML platforms.
Domain
Cloud Infrastructure, Marketing Analytics, Artificial Intelligence
Deliverable
production ML models | product features | infrastructure
Required skills
Serverless architecture, Agentic AI systems, MLOps, Hybrid retrieval, LLM evaluation, Distributed systems, Object Oriented Design, Infrastructure as Code, Observability, System design
Preferred skills
AWS services (Lambda, SageMaker, Redshift), LLM deployment on AI hardware, SQL/DWH performance tuning, Kubernetes, Full SDLC
Technologies
AWS Bedrock, AWS SageMaker, AWS Lambda, AWS Step Functions, AWS EventBridge, MWAA, AWS Redshift, AWS S3, AWS DynamoDB, AWS OpenSearch, AWS CDK, AWS CloudWatch
Responsibilities
Design and operate production agentic AI systems; Own the retrieval and ranking quality loop; Productionize machine learning models; Build and scale serverless data pipelines; Maintain operational reliability and on-call rotation; Write design documents and drive code reviews.
Seniority
Senior, hands-on IC