Senior/Lead AI/ML Engineer

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.)