11X Ai

11X Ai

Staff Fullstack Engineer, AI Agents

USA · Staff+

Sponsorship not specified$150k-$250kDetected 407 days ago
TypeScriptReactNext.jsFull-Stack DevelopmentLLMsAgentic AIAI OrchestrationLeadershipMentoring

About the role

  • We're looking for a Staff Software Engineer with deep fullstack expertise and a passion for building ambitious AI-powered systems.

Responsibilities

  • Architect, build, and scale fullstack systems that support autonomous AI agents in production.
  • Lead technical decision-making across projects-ensuring long-term scalability, reliability, and developer efficiency.
  • Collaborate cross-functionally with design, product, and GTM teams to define roadmaps and prioritize development.
  • Drive internal engineering standards through mentorship, documentation, and code reviews.
  • You'll collaborate closely with our CTO, cross-functional teams, and model providers to translate complex ideas into elegant, production-ready software.
  • This is a hands-on leadership role where you'll influence system design, mentor other engineers, and set the bar for engineering quality in a fast-moving, AI-native environment.
  • About the Role We're looking for a Staff Software Engineer with deep fullstack expertise and a passion for building ambitious AI-powered systems.
  • In this role, you'll operate as a technical lead-driving architecture, product development, and internal standards for one of our flagship autonomous digital workers.

Requirements

  • 6+ years of experience in software engineering, with demonstrated leadership on complex technical projects.
  • Track record of shipping scalable systems in high-growth or startup environments.
  • What We're Looking For 6+ years of experience in software engineering, with demonstrated leadership on complex technical projects.

Compensation

  • $150,000 - $250,000 *Final offer will be based on a variety of factors, including role level, relevant experience, skills, and job-related expertise.

This listing is sourced directly from 11X Ai's careers page and normalized into a canonical job model.