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Agent Infrastructure Engineer — Core Harness (Superagent)
ImagineArt
Remote, IND
Full-time
Mid · 4+ years experience
Remote
Discovered 3 weeks ago
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About ImagineArt
We're redefining how the world creates and designs.
ImagineArt is one of the fastest-growing GenAI companies in the world. We've scaled faster than most funded startups — with zero outside funding.
$35M+ ARR crossed this year
100M+ social impressions
Built and shipped our own image generation model, now ranked #3 globally for photo realism
No funding. No shortcuts. Just a sharp, driven team building one of the strongest GenAI products in the world — and we're just getting started.
We're looking for an Agent Infrastructure Engineer to own Superagent , our core agent harness that powers conversations, tool calls, and multi-step agentic workflows across our AI products.
This is a deep systems and infrastructure role — not prompt engineering and not simply wrapping model APIs. You'll work on the core orchestration loop, tool-calling infrastructure, context and memory management, streaming, retries, evaluation, observability, and performance.
Key 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 , evaluating performance, cost, reliability, and capabilities.
- Implement performance optimizations such as caching, batching, parallel tool execution, and prompt/context compression .
- Build deep observability and instrumentation across agent runs, including tracing, logging, metrics, and regression detection.
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