ImagineArt
Generates AI art from text prompts
Agent Infrastructure Engineer - Core Harness, Superagent
About the job
- At least 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 large language model-based agents in production.
- Strong understanding of tool calling, function schemas, context limits, structured outputs, model failures, and unreliable large language model behavior.
- Experience with at least one agent framework such as LangGraph, OpenAI Agents SDK, CrewAI, AutoGen, or a custom 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 artificial intelligence products.
- Strong understanding of concurrency, caching, profiling, performance optimization, and latency/cost tradeoffs.
- Experience working with large language model application programming interfaces and production artificial intelligence infrastructure.
- Excellent debugging and problem-solving skills, especially for complex and non-deterministic systems.
- A self-driven, proactive builder mindset and passion for technology.
- Own the architecture, development, and evolution of Superagent, the core agent harness.
- Design and optimize the agent execution loop for latency, reliability, token efficiency, cost, and task completion.
- Build and improve context management, memory and state handling, tool routing, function schemas, structured outputs, retries, and error recovery systems.
- Build and maintain agent evaluation infrastructure to measure quality and guide engineering decisions with data.
- Integrate and benchmark multiple large language model providers and models, evaluating performance, cost, reliability, and capabilities.
- Implement 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 artificial intelligence 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.
- Contributions to open-source agent frameworks, large language model tooling, or artificial intelligence infrastructure.
- Experience with retrieval-augmented generation pipelines, vector databases, or long-term memory systems for artificial intelligence agents.
- Familiarity with Model Context Protocol or similar tool-integration standards.
- Experience with large language model inference infrastructure, model routing, rate limits, fallbacks, or high-volume model APIs.
- Experience with LangChain, LlamaIndex, LangGraph, DSPy, or similar artificial intelligence infrastructure frameworks.
- Experience with Kubernetes, Docker, cloud infrastructure, or distributed systems.
- Experience building internal developer platforms or infrastructure used by multiple engineering or product teams.
- A strong background in observability, distributed tracing, and production reliability.
- Contributions to open-source projects or personal artificial intelligence infrastructure projects.
About the company
ImagineArt creates AI-generated artwork from text prompts in a variety of styles, including realistic, anime, painting, and pixel art. It works by interpreting user-provided descriptions to generate images, with advanced configuration options such as Negative Prompt, Image Strength, and CFG Scale to fine-tune results. A built-in prompts library helps users find ideas, and the platform can upscale and enhance multiple images to 4K and 8K without losing texture or detail. Compared with competitors, ImagineArt combines flexible style choices with fine-tuning controls and pre-made prompts, plus high-quality upscaling, all in one tool. The goal is to help people easily create unique, high-quality AI art from text descriptions and improve existing images without sacrificing detail.
Company Size
11-50
Company Stage
N/A
Total Funding
N/A
Headquarters
Wyoming
Founded
2019
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Simplify's Take
What believers are saying
- ImagineArt claims 3.5 million monthly active users in September 2026.
- Fashion Studio launched August 11, 2026, targeting ecommerce and lookbook production.
- Caplight tracked employee growth from 108 to 307 during 2026.
What critics are saying
- ImagineArt relies on Nano Banana Pro and Seedance 2.0, exposing supplier leverage.
- OpenAI or Adobe bundles similar workflows into suites, erasing standalone demand by 2027.
- Copyright and likeness disputes around AI fashion models trigger enterprise bans fast.
What makes ImagineArt unique
- August 2026 Fashion Studio keeps reusable models, solving repeat-shoot consistency for brands.
- June 2026 MCP integration spans image, video, ad, film, and audio workflows.
- Imagine Computer extends creation into execution across Meta and Google campaigns.
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Benefits
Remote Work Options
Company News
ImagineArt launches AI Fashion Studio. San Francisco, California, Aug 11, 2026, ZEX PR WIRE - ImagineArt today announced the launch of AI Fashion Studio, a tool that generates catalog and editorial-quality fashion photography and video without a physical model, studio, or photographer. Fashion Studio lets brands build a reusable AI fashion model, dress it in real garments, and generate finished images or video in a single workflow. The product addresses a persistent bottleneck in fashion production: booking a model, studio, and crew around a single shoot date, then paying for every colorway and angle in advance, with no guarantee that a reshoot months later will visually match the original. Fashion Studio removes that dependency by keeping a saved AI fashion model, the same face, body, and skin tone, visually consistent across every shoot and every future collection, without rebooking or re-casting. How Fashion Studio Works AI Fashion Studio follows a six-step workflow: Choose a Model - select a preset AI fashion model, upload one, or generate one from a prompt. Dress the Look - select or upload a top and bottom, and choose the fabric for each piece. Add Footwear & Accessories - shoes, jewelry, and accessories, from presets or uploads. Set the Background - a catalog backdrop or an outdoor editorial scene. Direct the Pose - select a preset pose, upload a reference image, or describe one. Shoot or Animate - generate a still image or animate the model into video, with adjustable aspect ratio and clip length for square, vertical, or widescreen formats. Key Capabilities Fashion Studio's core feature is model consistency: once a brand saves an AI fashion model, that same model, down to facial features, body type, and skin tone, can be reused across an entire product range and future shoots, removing the reshoot and rebooking risk tied to human models. Teams can also collaborate inside the same workspace, sharing models, garments, and projects across a project rather than working from separate files. Ecommerce brands use Fashion Studio to keep one consistent virtual model across an entire SKU range. Brands with only flat garment photography use it to convert flat lay shots into fully styled model photography, and some use it to replace a ghost-mannequin rig entirely by uploading a garment and generating a full model shot from it. Editorial teams use the outdoor scene and pose-direction options to produce campaign and lookbook imagery, and social and ad teams use it to generate new creative for paid campaigns without a new shoot per post. Solo designers and small brands use it to produce campaign-quality imagery without a studio budget or agency retainer. Connected to the Rest of the Platform A Fashion Studio shoot carries forward into three other ImagineArt tools without starting over. AI Ad Studio turns the same AI fashion model into a video ad, in UGC, unboxing, or virtual try-on formats, sized for Meta, TikTok, and YouTube. AI Film Studio gives the shoot a cinematic treatment, with camera control and character continuity across scenes. Audio Studio adds a voiceover or original music to the finished video, in the same workflow. Everything generated in Fashion Studio belongs to the brand that made it, under full commercial rights, with no licensing fee tied to the model or the shoot. About ImagineArt ImagineArt is an AI creative platform spanning image, video, film, and audio generation, used by millions of creators and brands. Learn more at imagine.art.
ImagineArt focuses on agentic AI with Imagine Computer launch. Vehement Media Bootstrapped AI platform expands beyond image generation into agentic task execution for creators and businesses. SAN FRANCISCO, CA - ImagineArt, an AI-powered creative platform serving over 3.5 million monthly active users, today announced Imagine Computer, an all-in-one AI agent workspace designed to automate multi-step digital workflows from initial ideation to campaign execution. Building on the company's proprietary generative models - including Imagine 1.5 and Imagine 2.0 - Imagine Computer shifts the platform's core capability from standalone asset generation to agentic task coordination. Rather than requiring users to manually manage multiple single-purpose applications, the new system utilizes an autonomous AI agent to interpret user objectives, sequence required tasks, and execute actions across connected third-party tools. "If generative AI shortened the distance between imagination and creation, agentic AI can shorten the distance between intention and execution," said Ahmed Abubakar, CEO of ImagineArt. "AI doesn't replace people; it replaces outdated ways of working. With Imagine Computer, our objective is to manage the connective tissue between ideation, production, distribution, and performance analysis." Key capabilities of the Imagine Computer workspace include: * Automated Workflow Orchestration: Synthesizes research, drafts documents, produces visual assets, and generates user interface components within a unified environment. * Cross-Platform Integration: Connects creative outputs directly to external platforms, including Meta and Google advertising networks, for streamlined publishing. * Iterative Performance Tracking: Monitors campaign data and converts performance analytics into actionable steps for subsequent campaign optimization. Founded by brothers Ahmed, Abdullah, and Zain Abubakar, ImagineArt initially entered the market with specialized consumer software before scaling into a bootstrapped generative AI provider. Imagine Computer marks the company's formal expansion from creative software into broad-scale task automation. Imagine Computer is currently entering limited developer preview, with broader public access scheduled for rollout later this year. For more information regarding feature sets and platform updates, visit https://www.imagine.art/. About ImagineArt ImagineArt is an AI platform that develops proprietary generative AI models and creative tools designed to turn ideas into digital experiences. Founded by brothers Ahmed, Abdullah, and Zain Abubakar, the bootstrapped company serves over 3.5 million monthly active users globally through its suite of image generation, design, and workflow technologies. Media Contact: Organization: ImagineArt Contact Person: Ahmed Abubakar, CEO Media gallery Information contained on this page is provided by an independent third-party content provider. XPRMedia and this Site make no warranties or representations in connection therewith. If you are affiliated with this page and would like it removed please contact [email protected]
ImagineArt has launched Imagine Computer, an AI workspace powered by an agent designed to handle multi-step workflows across different tools. The bootstrapped company, founded by brothers Ahmed, Abdullah, and Zain, serves over 3.5 million monthly active users with its generative AI platform. Imagine Computer shifts from simple content creation to executing complete workflows. The AI agent can research information, create documents and presentations, generate visuals, build websites, launch campaigns, and monitor performance—coordinating steps between different tasks. The company positions this as moving from "creation to execution," addressing the full process of bringing ideas to market rather than just producing individual assets. ImagineArt previously competed with major players through its image generation models, including Imagine 1.5 and Imagine 2.0.