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.)
#J-*****-Ljbffr

📌 Senior/Lead Ai/Ml Engineer (Buenos Aires)
🏢 Ryz Labs
📍 Buenos Aires