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.)

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