Principal Full Stack AI Engineer

ValidityBoston, MA
$200,000 - $220,000Hybrid

About The Position

We're building the next generation of email marketing tools at Validity. AI is central to how we build – we develop with agents daily – and to what we build, shipping AI-powered features that help our customers succeed. We're looking for a Principal Full Stack AI Engineer who ships fast, designs systems that last, and holds a high-quality bar across a team that builds with AI every day. We move fast, communicate directly, and debate ideas openly. The best idea wins regardless of who it comes from. We bias toward action – ship, learn, iterate.

Requirements

  • 10+ years of engineering experience shipping impactful products
  • Deep full-stack experience with React, Next.js, TypeScript, and PostgreSQL
  • 2+ years building agentic AI systems
  • Demonstrated ability to work across multiple projects simultaneously, leveraging agents to multiply output
  • Strong code review skills with the judgment to maintain high quality in an AI-assisted development environment
  • Strong product sense – you understand the product and what users want
  • Excellent systems design – you architect for clarity, maintainability, and scale
  • Bias toward action and rapid decision-making
  • A doer – hands-on with code and experiments daily
  • A quality gate – you care about getting it right, and you know AI-generated code needs sharp review
  • Fast and intelligent – you learn fast, make smart decisions quickly, and iterate
  • An AI-native builder – agentic tools are part of how you work, not an afterthought
  • Experimentation-obsessed – you validate through building
  • Comfortable with ambiguity – you forge ahead when the path isn't clear
  • Collaborative – you thrive on code review and learning from others
  • Hard-working and motivated – you put in the effort and take pride in what you ship

Nice To Haves

  • History of 0-to-1 projects

Responsibilities

  • Quickly build and ship full-stack features
  • Design and deploy agentic AI systems that solve real user problems
  • Work across multiple projects simultaneously, using agents to maintain velocity and context across concurrent workstreams
  • Perform rigorous code review – especially of AI-generated code – ensuring production-grade quality, security, and systems design
  • Set technical direction through architecture decisions, prototypes, and rapid experimentation
  • Help define and improve evaluation for agent-powered features
  • Move from idea to production-ready implementation at speed
  • Work closely with product managers, shipping, learning, and iterating

Benefits

  • benefits
  • bonus opportunities
  • stock options
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