--- title: 'Agent Infrastructure Engineer — Core Harness (Superagent) at ImagineArt' canonical: 'https://feeny.ai/job/agent-infrastructure-engineer-core-harness-superagent-imagineart-india-484hp2d6bb3e' type: 'job' last_seen: '2026-09-10' --- # Agent Infrastructure Engineer — Core Harness (Superagent) at ImagineArt - **Company:** ImagineArt - **Location:** India - **Employment:** full-time - **Work type:** remote - **Posted:** 2026-08-18 - **Last confirmed live:** 2026-09-10 - **Apply:** https://jobs.ashbyhq.com/imagineart/8c508ce3-ef15-473e-8a55-42e2f23432d7 ## Job description ## 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. - 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. - 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. - Strong understanding of agent orchestration and multi-step workflows. - Experience building or working with evaluation suites, benchmarks, A/B testing, or other measurement systems for AI products. - Strong understanding of concurrency, caching, profiling, performance optimization, and latency/cost tradeoffs. - Experience working with LLM APIs and production AI infrastructure. - Excellent debugging and problem-solving skills, especially for complex and non-deterministic systems. - Passionate about technology, self-driven, and proactive with a strong builder mindset. Optional / Nice-to-Have Skills - Contributions to open-source agent frameworks, LLM tooling, or AI infrastructure. - Experience with RAG pipelines, vector databases, or long-term memory systems for AI agents. - Familiarity with MCP (Model Context Protocol) or similar tool-integration standards. - Experience with LLM inference infrastructure, model routing, rate limits, fallbacks, or high-volume model APIs. - Experience with LangChain, LlamaIndex, LangGraph, DSPy, or similar AI infrastructure frameworks. - Experience with Kubernetes, Docker, cloud infrastructure, or distributed systems. - Experience building internal developer platforms or infrastructure used by multiple engineering/product teams. - Strong background in observability, distributed tracing, and production reliability. - Contributions to open-source projects or personal AI infrastructure projects. Why Join Us? - Own the core agent infrastructure behind our AI products — every improvement you make can multiply across the entire platform. - Work on real production-scale AI systems, not demo agents or simple API wrappers. - Solve challenging problems across LLMs, distributed systems, orchestration, performance, and infrastructure. - Have direct influence over the architecture and technical roadmap of our entire agent stack. - Collaborate with a passionate and talented team building some of the most ambitious GenAI products in the market. - Competitive salary and benefits package. - A culture that encourages ownership, experimentation, learning, and data-driven engineering. ## About ImagineArt ## Company Overview - **One-liner**: ImagineArt is an all-in-one AI creative suite that enables users to generate images, videos, and voice from text prompts, streamlining the creative workflow from idea to finished product. - **Entity Type**: Private (Funding not publicly disclosed) - **Headquarters**: San Francisco, California, United States - **Founded**: 2022 - **Founders**: Ahmed Abubakar (Founder & CEO) ## Core Business - **Primary industry/industries**: Generative AI, Creative Software, Digital Media - **Target customers**: B2B (enterprise, marketing teams, designers) and B2C (content creators, filmmakers, storytellers) - **Mission or purpose statement**: “Think bigger. Create smarter. Ship faster.” – Empowering creators with the most advanced AI tools. ## Products & Services - **ImagineArt Creative Suite (SaaS)**: An integrated platform offering AI image generation, video generation, and voice synthesis from text prompts. Includes a connected infinite workspace (“Workflows”) for moving fluidly from idea to final output. - **Mobile & Web Apps**: Available on mobile and web, trusted by 100M+ users. ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed - **Key Metric**: Estimated annual revenue between $100M and $500M (per SignalHire) - **Notable Investors/Partners**: Not publicly disclosed - **Growth Signals**: - 211 employees (+482% year-over-year) - 100M+ users across mobile and web - Monthly website visits: 3.3M (+84.8% year-over-year) - Operations in 32 countries, with a global rank of #13,471 - 50 active job postings as of mid-2026 ## Competitive Advantages - **All-in-one platform**: Combines image, video, and voice generation in a single connected workspace – reducing tool-switching for creators. - **Scale & adoption**: 100M+ users provide a large training data moat and brand recognition. - **Advanced AI stack**: Uses a modern tech stack (e.g., Snowflake, Databricks, Google AI, MLops) to deliver fast, high-quality outputs. - **Rapid headcount growth**: Nearly 5x employee growth in one year signals strong product-market fit and investment in talent. ## Strategic Focus - **Current priorities**: Expanding enterprise sales (hiring Enterprise Account Executives), deepening AI capabilities (Agentic AI Engineer role), and scaling content creation tools for professional teams. - **Direction**: Transitioning from a consumer creative tool to a B2B creative platform for marketing and design teams, while maintaining a strong free-tier user base. ## Why Work Here - **Culture highlights**: Fast-growing, AI-first startup with a global, diverse team (employees in 32 countries). Emphasis on creativity and shipping quickly. - **Remote/hybrid/office policy**: Hybrid workspace – employees combine remote and on-site work. Offices in San Francisco (HQ) and Cheyenne, Wyoming. Many roles are listed as in-office or remote. - **Notable perks or engineering culture**: Modern tech stack (React, TypeScript, Go, Python, GCP, Snowflake). Open roles include Senior Frontend Engineer, Agentic AI Engineer, and Product Manager. High autonomy and impact due to rapid scaling. ## Sources 1. [Built In – ImagineArt Careers](https://builtin.com/company/imagineart) 2. [ImagineArt Official Website](https://www.imagine.art/) 3. [LinkedIn – ImagineArt Company Page](https://www.linkedin.com/company/imagineartai) 4. [SignalHire – ImagineArt Company Profile](https://www.signalhire.com/companies/imagineart) 5. 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