Join Outsmart as a Staff Applied AI Engineer to shape AI-first applications in a mission-driven startup.
Posted by employer 4 days ago
First seen on Joblaze 3 days ago
Last verified on the company career page 1 day ago
Skills & Technologies
What you'll build
Must have
AI in the day-to-day
You will work on both generative and discriminative use cases, focusing on content generation at scale and AI-first development.
Requirements
Not disclosed in this posting: compensation, visa sponsorship.
Benefits
Joblaze summary
In the role of Staff Applied AI Engineer at Outsmart, the individual will lead the development of AI systems that enhance the company's educational applications, focusing on algorithm quality and scalability. Key skills include extensive experience in AI/ML, particularly in creating AI-first applications and a strong understanding of product and quality assurance. This position is ideal for seasoned professionals with over a decade of hands-on experience who thrive in fast-paced environments. Outsmart's early-stage startup culture emphasizes high-impact contributions and a commitment to redefining higher education.
Joblaze insights
Quick facts
From the original posting
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
10 + 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
Perks
Competitive salary, equity, and benefits
Remote work days
Lunch provided in-office daily
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