Software Engineer, GTM

OpenArt AI

. Contribute to the development and iteration of OpenArt Agent and other OpenArt products .

Posted 10/27/2026full-timeSan Carlos • California • United StatesJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in full-stack engineering with a focus on building LLM-powered applications and generative AI models. Proficient in data modeling, schema design, and delivering polished frontend experiences using React and Next.js.

Highest-signal resume keywords

Full-Stack Engineering ExperienceLLM-Powered Applications DevelopmentData Modeling and Schema DesignAI-Assisted Coding PracticesFrontend Development with React and Next.js

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Full-Stack EngineeringData ModelingSchema DesignAI-Assisted CodingFrontend DevelopmentLLM-Powered ApplicationsGenerative AI ModelsPrototypingAgent Harness ConceptsMulti-Step Planning

Soft Skills

Clear CommunicationProduct Sense

Tools & Technologies

ReactNext.jsClaude CodeCodexCursorClaude Agent SDKLangGraph

Industry Keywords

Generative AIAgent OrchestrationVideo Generation ModelsImage Generation ModelsStartup Experience

Tech Stack

Tools & technologies

JavaScriptNext.jsReact

About the role

Key responsibilities & impact

Contribute to the development and iteration of OpenArt Agent and other OpenArt products
Build and evolve OpenArt Arena for exploring and evaluating generative AI models
Partner with product, design, and GTM to turn market trends into product capabilities
Evaluate video and image generation models across quality, capabilities, reliability, and real-world use cases
Rapidly prototype and ship innovative projects inspired by new models, technologies, and user behavior
Ship polished, production-ready frontend experiences in React and Next.js end to end
Make pragmatic trade-offs between speed, correctness, and scalability and communicate them clearly
Work at the intersection of engineering, product, and go-to-market to turn emerging opportunities into products

Requirements

What you’ll need

2+ years of full-stack engineering experience shipping production software
Hands-on experience building LLM-powered agents or applications that have reached real users
Working familiarity with agent harness concepts: tool use, context/memory management, multi-step planning, or sub-agent orchestration
Solid data modeling and schema design skills for real product use cases
Strong AI-assisted coding practice using tools like Claude Code, Codex, or Cursor
Product sense for trustworthy and delightful agent experiences
Clear communication of agent behavior and technical trade-offs to non-engineers
Nice to have: experience authoring reusable Agent Skills or structured agent workflows
Nice to have: practical experience building MCP servers or CLI tooling for agents
Nice to have: exposure to agent orchestration frameworks such as Claude Agent SDK or LangGraph, or LLM evaluation/observability tooling
Nice to have: hands-on experience with image/video generation models
Nice to have: startup experience or having built something 0 to 1
Visa sponsorship available

Benefits

Comp & perks

Equity - meaningful ownership in what you build
High autonomy, high growth environment
Visa sponsorship available
Hybrid work setup in San Carlos, CA