Senior/Lead AI/ML Engineer

Ryz Labs; Buenos Aires; Presencial; BRL 223 200 - 334 800; Tempo integral

Resumo da oferta

Ryz Labs in Espírito Santo, Brazil is seeking a Senior / Lead AI/ML Engineer to design and implement production-grade conversational AI agents. The role involves collaborating with internal teams to build and scale LLM systems in an AWS environment. The ideal candidate has proven experience in shipping LLM agents, strong Python expertise, and hands-on experience with agent orchestration patterns and production AWS environments. A working knowledge of LLM observability platforms is preferred.

Qualificações

• Proven experience shipping production LLM agents with tool use.
• Strong expertise in Python.
• Hands-on experience with agent orchestration patterns.

Responsabilidades

• Design and implement LLM-powered conversational agents in production.
• Build robust agent orchestration systems including state management.
• Develop and integrate tooling via MCP or gateway-style architectures.

Conhecimentos

Production LLM agents with tool use

Expertise in Python

Agent orchestration patterns

Tool integration frameworks

Production AWS environments

LLM observability/evaluation platform

Ferramentas

AWS EKS

AWS Lambda

EventBridge

IAM

Logging and monitoring systems

Descrição da oferta de emprego

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.)