Outsmart

Senior Applied AI Engineer at Outsmart (Lehi, UT)

Outsmart· Lehi, UT·

Role details

Work type
Onsite
Employment
Full-Time

Job description

Outsmart is a mission-driven, early-stage startup reimagining higher education for the age of AI by creating an entirely new collegiate experience that expands access and opportunity. Backed by $38M from top venture firms including Khosla Ventures, Forerunner, DST Global Partners, and Lightspeed, the company is led by former Duolingo executives and a founding team that also includes Emmy Award winners. With a strong culture centered around high-impact, detail-oriented team members, Outsmart is already seeing significant traction, generating 1–5 million weekly organic views on social media.

What You’ll Be Doing

In this role, you’ll be at the forefront of the AI that powers Outsmart’s applications. As an early member of the engineering team you’ll play a critical role in setting the tone for Outsmart’s technical culture including setting standards for algorithmic quality, scalability, and AI-first development. You will work on both generative and discriminative use cases, focusing on content generation at scale, gamification, benchmarking and analytics, multi-modal behavior classification from mobile signals, and continuously modernizing Outsmart’s SDLC.

Who You Are

  • 5+ years experience in hands-on AI/ML role
  • Deep and proven experience with agentic engineering
  • Experience shipping AI-first applications at scale
  • Experience using AI effectively to contribute cross-platform
  • Demonstrable sense of Product, QA, and DevX
  • Ability to work autonomously in a fast‑paced environment

What You’ll Own

  • Co-ownership of AI-first SDLC
  • MCP/ML tooling
  • Contribute to prompting standards across the engineering team
  • Define and enforce benchmarks for AI applications
  • Work with Product and Engineering leadership to define AI roadmap
  • Own end-to-end deployment and maintenance of AI systems

What Helps You Succeed

  • Craftsmanship and Extreme Ownership
  • Open-mindedness
  • Frequent, direct, honest, kind communication
  • Demonstrable adoption of AI in all aspects of work
  • Track record of shipping in an environment of high-performance
  • User obsession

Salary Range: $190K-$250K

Perks

  • Competitive salary, equity, and benefits
  • Healthcare for you and your dependents (medical, dental, and vision)
  • Parental leave for any full-time employee (birthing, non-birthing, and adoptive parents)
  • 15 PTO days per year, a winter break, and 12+ paid company holidays per year
  • Remote work days
  • Lunch provided in-office daily
  • Working with super talented people who want to make a difference in the world

Outsmart is committed to building an equitable and inclusive workplace and is proud to be an equal opportunity employer. We consider all qualified applicants for employment regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, veteran status, or any other characteristic protected by applicable law.

Why work at Outsmart

  • High-Caliber Team: Join a tight-knit, ambitious team of former Duolingo, Amazon, Meta, Snapchat, LinkedIn, and Spotify engineers, product managers, and designers.
  • Big Mission: The opportunity to work on a world-changing problem—reimagining higher education and solving the student debt crisis.
  • Ownership & Impact: Early-stage company where employees are given real ownership over key features and products (0→1).
  • Culture: Described as having "big mission energy," "AI in our DNA," and a "ship, a lot" mentality. Focus on craft and solving complex problems.
  • Work Policy: On-site / office-first. Employees work from physical offices in San Francisco, New York, or Lehi, Utah.
  • Benefits: Great benefits and perks, though specific details are not publicly listed. The company values real ownership and the chance to create something that truly matters.
  • Tech Stack: Python, React, React Native, Swift, UIKit, GraphQL, Rive, Unity, and various ML/MLOps tools.

Application questions