ImagineArt
More roles at ImagineArtAgent Infrastructure Engineer — Core Harness (Superagent)
Remote role where the employee must remain based in a particular country.
Listed for India
From the listing details: Source listing states candidate location: "India, Remote"
Employer listed it 2 months ago · Added 5 weeks ago
Been open since 2 months ago. Long-running listings are sometimes left up after the role is filled.
Salary
Not stated
Location
Listed for India
Timezone
APAC
Contract
Full-time
Experience
Mid
Category
Software
The employer did not publish a salary, and we have too few comparable roles to estimate one.
What the advert says
Quoted word for word from the employer's advert. Where it says nothing, we say so.
- Working hours
- Not mentioned in the advert
- Where you can work from
- Location eligibility not confirmed
- Contract
- Not mentioned in the advert
- Experience asked for
4+ years of experience in software engineering, backend engineering, or systems infrastructure.
- Pay
Competitive salary and benefits package.
Remote flexibility
Work from home
This is a remote role, but the employee must be based in India. It is work from home rather than work from anywhere.
What the employer says
- Source listing states candidate location: "India, Remote"
What Nomaders makes of it
- Residency required in India
- Payroll and tax are likely handled in that country only
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
Before you apply
Experience: employer states
Written as a requirement
- “Experience with at least one agent framework such as LangGraph, OpenAI Agents SDK, CrewAI, AutoGen , or a custom/homegrown agent harness.”
Questions worth asking: Nomaders interpretation
- The advert does not say where you can be based. Ask which countries they can legally employ or contract you from.
- The advert does not say whether this is employment or a contractor arrangement. Ask, as it affects tax and benefits.
Produced automatically from this advert's text; not reviewed by a person. The employer's own page is the final word.
About the role
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.
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.
Extend and customize underlying agent frameworks when existing abstractions are insufficient.
Build reliable integrations with evolving AI and tool ecosystems.
Work closely with product engineering teams to expose clean abstractions while keeping harness complexity behind the platform.
Debug and resolve complex issues across non-deterministic, distributed, and model-driven systems.
Required Skills & Qualifications
4+ years of experience in software engineering, backend engineering, or systems infrastructure.
Strong proficiency in Python and/or TypeScript .
Hands-on experience building or operating LLM-based agents in production .
Requirements
- ·4+ years of experience in software engineering, backend engineering, or systems infrastructure.
- ·Strong proficiency in Python and/or TypeScript .
- ·Hands-on experience building or operating LLM-based agents in production .
- ·Strong understanding of tool calling, function schemas, context limits, structured outputs, model failures, and unreliable LLM behavior .
- ·Experience with at least one agent framework such as LangGraph, OpenAI Agents SDK, CrewAI, AutoGen , or a custom/homegrown agent harness.
Benefits
- ·A culture that encourages ownership, experimentation, learning, and data-driven engineering .
How to apply
- 1Check the flexibility label above, work from home, matches where you plan to live and work.
- 2Tailor your CV to the role at ImagineArt, mentioning your remote working experience and working hours (APAC).
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 1mo ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
Pay not stated · You'll be taken to the employer's careers page.