At Ryz Labs we are looking for a Senior / Lead AI/ML Engineer to design and ship production-grade conversational AI agents with advanced tool use and orchestration capabilities. This is a hands-on role where you’ll work closely with the internal team to build, scale, and harden real-world LLM systems in a production AWS environment.

You’ll be embedded with the team, contributing directly to architecture decisions and implementation.

Key Responsibilities

Design and implement LLM-powered conversational agents in production
Build robust agent orchestration systems, including:
- State management
- Pause/resume flows
- Journey and mode routing
- Failure handling and recovery
Develop and integrate tooling via MCP or gateway-style architectures, including:
- 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

Required Qualifications

Proven experience shipping production LLM agents with tool use
Strong expertise in Python
Hands-on experience with:
- Agent orchestration patterns (state machines, routing, retries, etc.)
- Tool integration frameworks (MCP or similar gateway approaches)
Experience working in production AWS environments, including:
- 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)

Preferred / Nice to Have

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.)