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: EKSLambda / Event BridgeIAMBedrock / 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 Agent Core (Runtime + Gateway)Familiarity with Strands, or ability to ramp quickly from Lang Graph / Lang Chain Experience implementing governed memory systems Background in regulated environments (fintech, banking, etc.)

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📌 Senior/Lead AI/ML Engineer (Buenos Aires)
🏢 Ryz Labs
📍 Buenos Aires