Senior Software Engineer, Agentic

Robinhood Robinhood · Fintech · Bellevue, WA +1 · ENG Data and AI Platform Division

Robinhood is seeking a Senior Full Stack Software Engineer for their Agentic Apps team, focusing on Corporate Engineering and Business Systems. The role involves designing and building AI-powered internal applications and agents using LLMs and agentic systems. The engineer will work across frontend, backend, and AI orchestration layers to deliver user-friendly tools that improve internal workflows and contribute to broader AI initiatives. This is a product-driven role, not focused on research or model development, aiming to make agentic AI practical and production-ready.

What you'd actually do

  1. Build and maintain full-stack tools and frameworks that enable teams to develop and deploy AI-powered internal applications.
  2. Design and implement client- and server-side systems to support scalable, production-ready agentic AI solutions.
  3. Develop workflows and tooling for agent development, enabling rapid prototyping, experimentation, and iteration.
  4. Build internal AI products ranging from workflow automation to full internal platforms used across the company.
  5. Collaborate closely with AI engineers and internal stakeholders to deliver reusable libraries, abstractions, and tooling.

Skills

Required

  • 5+ years of full-stack software engineering experience
  • Strong experience building frontend and backend applications using JavaScript/TypeScript, Node.js, and modern frameworks (React, Vue, Angular).
  • Experience working with LLMs and agentic systems, including prompt engineering, orchestration, or RAG-style patterns.
  • Solid product and UX instincts, especially for internal or enterprise tools.
  • Comfort working in large codebases or monorepos (e.g., Bazel) and shipping production-grade systems.
  • Strong collaboration skills and a mindset focused on building developer- and user-friendly platforms.

What the JD emphasized

  • production-ready agentic AI solutions
  • agent development
  • production-grade systems

Other signals

  • building AI-powered internal applications and agents
  • applying agentic AI in a product-driven way
  • design and build AI-powered internal applications and agents
  • build and scale intelligent, agent-driven systems