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Senior/Lead AI/ML Engineer

RyzLabs · Buenos Aires

LeadRemoteExternal listingfull-time4 months ago

About The Role

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.)

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