Lead Agent Infrastructure Engineer — Core Harness

ImagineArt; United States; Remote; USD 140,000 - 200,000; Full time

Job summary

ImagineArt is seeking an Agent Infrastructure Engineer to own Superagent, our core agent harness powering conversations, tool calls, and multi-step workflows across AI products.

This deep systems role focuses on the orchestration loop, memory management, and tooling infrastructure, not prompt engineering. You’ll optimize latency, cost, and reliability while instrumenting and observing all agent runs.

Qualifications

• 4+ years of software engineering, backend, or systems infrastructure.
• Experience building or operating LLM-based agents in production.
• Strong understanding of tool calling, function schemas, context limits, structured outputs, and model unreliability.
• Experience with agent frameworks such as LangGraph, OpenAI Agents SDK, CrewAI, AutoGen, or similar.

Responsibilities

• Own the architecture, development, and evolution of Superagent, our core agent harness.
• Design and optimize the agent execution loop for latency, reliability, token efficiency, cost, and task completion.
• Build and improve core harness systems including context management, memory/state handling, tool routing, function schemas, structured outputs, retries, and error recovery.
• Build and maintain agent evaluation infrastructure to measure quality and guide engineering decisions with data.
• Integrate and benchmark multiple LLM providers and models for performance, cost, reliability, and capabilities.
• Implement performance optimizations such as caching, batching, parallel tool execution, and prompt/context compression.
• Build observability and instrumentation across agent runs, including tracing, logging, metrics, and regression detection.
• Extend and customize underlying agent frameworks when existing abstractions are insufficient.
• Build reliable integrations with evolving AI and tool ecosystems.

Skills

Python

TypeScript

LLM-based agents

Tool calling

Agent orchestration

Performance optimization

Concurrency

Observability

Debugging

Distributed systems

Education

Bachelor's degree in Computer Science or related field

Tools

LangGraph

OpenAI Agents SDK

AutoGen

Kubernetes

Docker

LangChain

LlamaIndex

DSPy

Job description

ImagineArt is seeking an Agent Infrastructure Engineer to own Superagent, our core agent harness powering conversations, tool calls, and multi-step workflows across AI products.

This deep systems role focuses on the orchestration loop, memory management, and tooling infrastructure, not prompt engineering. You’ll optimize latency, cost, and reliability while instrumenting and observing all agent runs.