Job Description

Mercor is hiring

AI Agent Infrastructure Engineers

on behalf of a leading

AI Lab

developing scalable systems to power the next generation of intelligent, autonomous agents. This is a unique opportunity to work with world-class AI researchers and engineers, building the infrastructure that enables advanced reasoning, multi-agent coordination, and real-world deployment of AI systems.

Responsibilities

Design, build, and optimize

infrastructure for training, deploying, and scaling AI agents

across distributed systems. Develop

robust backend services

, APIs, and orchestration frameworks that support multi-agent workflows and high-performance compute environments. Collaborate closely with research and product teams to integrate

model-serving pipelines, memory systems, and reasoning components

. Implement monitoring, observability, and failover mechanisms to ensure high system reliability and fault tolerance. Evaluate and refine

infrastructure performance

, identifying bottlenecks and improving efficiency across data, compute, and model layers. Participate in

synchronous collaboration sessions

(4-hour windows, 2-3 times per week) to review architecture decisions, troubleshoot distributed systems, and iterate on design improvements.

Requirements

Strong background in

Computer Science, Software Engineering, or Systems Design

, with focus on large-scale distributed infrastructure. Experience with

cloud computing (AWS, GCP, or Azure)

and containerization/orchestration tools such as

Docker and Kubernetes

. Proficiency in backend programming languages such as

Go, Rust, Python, or C++

. Familiarity with

LLM inference pipelines

,

multi-agent architectures

, or

reinforcement learning environments

is a strong plus. Knowledge of

network optimization, data streaming, and caching architectures

preferred. Excellent collaboration and communication skills. Ability to commit

20-30 hours per week

, including required synchronous collaboration sessions.

Why Join

Work directly with a

world-class AI research lab

building the infrastructure behind tomorrow's intelligent agent ecosystems. Influence the foundations of

AI scalability, reliability, and deployment

, enabling complex agents to operate in real-world environments. Enjoy

schedule flexibility

-- select your own 4-hour collaboration windows and manage your 20-30 hour work week. Be engaged as an

hourly contractor through Mercor

, giving you autonomy while contributing to mission-critical AI infrastructure projects. Collaborate with

top systems engineers, researchers, and AI developers

working at the intersection of distributed systems and advanced intelligence. * Join a

global network of technical experts

shaping how the next generation of AI agents reason, interact, and evolve at scale.