Teams at Outsmart

Lead applied AI engineering across generative and discriminative use cases, including scalable content generation, gamification, benchmarking, analytics, and multimodal behavior classification. Own AI-first SDLC practices, MCP and ML tooling, prompting standards, application benchmarks, roadmap development, and end-to-end deployment and maintenance of AI systems. Establish engineering standards for quality, scalability, and AI-first development while collaborating closely with product and engineering leadership.

Owns end-to-end development of consumer mobile features in Flutter across iOS and Android. Collaborates with design on Rive and Unity animations, leads mobile testing and performance tuning, participates in architecture and code reviews, and helps establish engineering quality and scalability standards in an early-stage startup.

Lead development and deployment of AI-first systems: build generative and discriminative models, enable multimodal behavior classification from mobile signals, define prompting and benchmarking standards, own ML tooling and SDLC, and partner with Product and Engineering on the AI roadmap.