Software Engineer, Full-stack

Superhuman Superhuman · Consumer · Hub - Porto · Engineering, Product, Design, and Marketing

Software Engineer role focused on building an AI agent platform for Superhuman's Docs AI team. The role involves developing core orchestration, routing, and planning systems where multiple AI agents collaborate to solve complex user problems within Superhuman's productivity suite. Requires experience with agents, AI workflows, and a strong understanding of LLMs.

What you'd actually do

  1. Spearhead the development of a new AI platform inside the Coda product of the Superhuman suite where multiple AI agents collaborate to solve complex user problems. You will be responsible for the core orchestration, routing, and planning systems.
  2. Build AI/ ML components that integrate with the latest and most powerful models to create magical user experiences.
  3. Play a pivotal role in evolving Superhuman into an indispensable, AI-native productivity suite for Enterprises.
  4. Join a foundational team where you will operate with a high degree of autonomy and product sense in a fast-paced, ambiguous environment.
  5. Move quickly from idea to impact. We have no red tape or endless approvals—just a focus on making meaningful contributions to a platform used by millions.

Skills

Required

  • Experience exploring or building with agents, skills, and AI workflows.
  • Genuinely excited about what is possible with LLMs today, using them not just as APIs, but as building blocks for intelligent tools and products.
  • Experience with machine learning with a solid understanding of how LLMs work and how they have evolved.
  • Demonstrated interest in the fast-moving AI landscape and follows new models, techniques, and frameworks as they emerge.
  • Deep care about the end-user experience and strives to ensure high quality.
  • Demonstrated ability to work independently with minimal guidance, proactively manage tasks and priorities across multiple projects, analyze and execute work efficiently, collaborate effectively with cross-functional teams, and thrive in fast-paced, results-driven environments.

Nice to have

  • Significant experience with Productivity apps and platforms, and how AI interacts with those.

What the JD emphasized

  • AI agent platform
  • multiple AI agents collaborate
  • core orchestration, routing, and planning systems
  • building with agents and AI workflows
  • experience with machine learning with a solid understanding of how LLMs work

Other signals

  • AI-native productivity suite
  • AI agent platform
  • multiple AI agents collaborate
  • core orchestration, routing, and planning systems
  • integrating with the latest and most powerful models