A remote Data & ML role at RYZ Labs. Proven experience shipping production LLM agents with tool use
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Design and implement LLM-powered conversational agents in production
State management
Pause/resume flows
Journey and mode routing
Failure handling and recovery
Schema design
Authentication & authorization
Idempotency handling
Auditability
Create and maintain custom evaluation frameworks for LLM performance and reliability
Operate and deploy systems in a production AWS environment
Collaborate closely with internal stakeholders in an embedded delivery model
Proven experience shipping production LLM agents with tool use
Strong expertise in Python
Agent orchestration patterns (state machines, routing, retries, etc.)
Tool integration frameworks (MCP or similar gateway approaches)
EKS
Lambda / EventBridge
IAM
Bedrock / Agent runtimes
Logging and monitoring systems
Experience with at least one LLM observability/evaluation platform in production (e.g., Arize AX, Langfuse, Phoenix)
Experience with AWS Bedrock and AgentCore (Runtime + Gateway)
Familiarity with Strands, or ability to ramp quickly from LangGraph / LangChain
Experience implementing governed memory systems
Background in regulated environments (fintech, banking, etc.)
RYZ Labs
Data & ML
34 open roles on Sydicom
RYZ Labs is a Web3 product studio known for developing decentralized applications and infrastructure. The company builds innovative solutions within the blockchain ecosystem.
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