About the job
At Outsmart, we are on a transformative mission to redefine higher education through the power of artificial intelligence. As an early-stage startup, we are creating a revolutionary collegiate experience that enhances accessibility and opportunity for students around the globe. Supported by a robust $38 million investment from leading venture capital firms such as Khosla Ventures, Forerunner, DST Global Partners, and Lightspeed, our team consists of former Duolingo executives and Emmy Award winners. We pride ourselves on nurturing a dynamic and detail-oriented culture, and our innovative approach has already garnered significant attention with 1 to 5 million weekly organic views across our social media channels.
Key Responsibilities
As a Senior Applied AI Engineer, you will lead the development of the AI technologies that drive Outsmart’s applications. Your role will be pivotal in shaping the technical culture of our engineering team, establishing high standards for algorithmic quality, scalability, and AI-centric development. You will engage in diverse projects including generative and discriminative use cases, large-scale content generation, gamification, benchmarking and analytics, and multi-modal behavior classification based on mobile signals, while continuously enhancing our software development lifecycle (SDLC).
Your Profile
Minimum of 5 years of hands-on experience in AI/ML roles.
Proven expertise in agentic engineering methodologies.
Successful track record in delivering AI-first applications at scale.
Experience in leveraging AI across multiple platforms.
Strong understanding of product management, quality assurance, and developer experience.
Self-motivated and capable of thriving in a fast-paced environment.
Your Ownership
Shared responsibility for the AI-first software development lifecycle.
Development of machine learning and computational tooling.
Contribute to the establishment of prompting standards across the engineering team.
Define and uphold benchmarks for AI applications.
Collaborate with product and engineering leadership to outline the AI roadmap.
Oversee the full deployment and maintenance of AI systems.
Keys to Success
Commitment to craftsmanship and a culture of extreme ownership.
Open-minded and adaptable to new ideas.
Engage in direct, honest, and respectful communication.
Demonstrable application of AI principles across all facets of work.

