Data & AI Engineer - (Hybrid)
Tasks
- Build agents with Strands Agents SDK on Bedrock AgentCore
- Build and operate Bedrock Knowledge Bases
- Build and operate containerized production pipelines on AWS Fargate ECS
- Build applied LLM data products for reporting and search
- Build internal tooling and integrations including MCP servers
- Define agent tool definitions and deployment hardening
- Deliver structured output via webhook or queue
- Deploy and operate AWS services end to end
- Design and operate data pipelines on AWS
- Design dimensional data models on Redshift
- Document decisions and architectures in team wiki
- Evaluate retrieval augmented generation outputs
- Feed Redshift data warehouse
- Implement document extraction pipelines with Amazon Bedrock Data Automation
- Maintain operational quality with logs alarms runbooks and on call
- Monitor data privacy compliance
- Prototype and ship AI powered applications for advisors
- Tune cost and latency for Knowledge Bases
Perks/Benefits
Skills/Tech-stack
AWS Fargate | AWS Glue | AWS Lambda | AWS Step Functions | Agentic coding | Agents SDK | Amazon Bedrock | Amazon CloudWatch | Amazon ECS | Amazon EventBridge | Amazon Redshift | Amazon S3 | Bedrock AgentCore | Claude Code | Data Warehousing | Dimensional Modeling | Document extraction | Infrastructure as Code | Knowledge bases | MCP servers | Python | Retrieval-Augmented Generation | SQL | Step Functions | Strands Agents | Strands Agents SDK | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Data Engineer | Engineer
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