AI Engineer

Chaos Labs; United States; Remote; USD 150,000 - 230,000; Full time

Job summary

Chaos Labs in the United States is seeking a Senior AI Engineer to design agentic systems for financial applications, focusing on integrating large language models (LLMs) and building workflows using LangGraph. The role emphasizes reliability and performance in production environments.

You will also be responsible for the operational aspects of MCP servers, including setting secure schemas and managing observability infrastructure, while mentoring junior engineers and establishing best practices

Qualifications

• Extensive experience in AI/ML production systems.
• Strong Python and API design skills.
• Experience designing agentic systems for financial applications.

Responsibilities

• Design and build single and multi-agent systems for financial applications.
• Integrate large language models (LLMs) and develop LangGraph workflows.
• Ensure systems are efficient, reliable, and observable.
• Oversee MCP servers, including setting secure schemas and observability infrastructure.
• Mentor junior engineers and establish best practices for agentic systems.

Skills

Python

API design

AI/ML production systems

LangGraph

LLMs integration

Multi-agent systems

Tools

MCP servers

Observability tooling

Secure schemas

Job description

Chaos Labs is a financial AI company seeking a Senior AI Engineer to design agentic systems. Ideal candidates have extensive experience in AI/ML production systems and strong skills in Python and API design.

In this role, you will design and build both single and multi-agent systems tailored for financial applications. Your work will focus on integrating large language models (LLMs) and developing workflows using frameworks like LangGraph, ensuring the systems are efficient and reliable.

You will also be responsible for the operational aspects of MCP servers, including setting secure schemas and managing observability infrastructure. Mentoring junior engineers and establishing best practices for agentic systems will be key to your success in this position.