Senior Full-Stack Software Engineer, Applied AI

Accountabilities:

You will design, build, and optimize full-stack AI features end-to-end while contributing to experimentation, system reliability, and continuous product improvement across AI-powered experiences.

• Ship full-stack AI features using Ruby on Rails and React across production systems
• Design and run experiments, including A/B tests and AI evaluations, to measure feature impact
• Build and maintain AI infrastructure components, including LLM-based systems and inference workflows
• Develop and improve RAG systems, AI agents, and other applied LLM-based solutions
• Optimize performance, scalability, and reliability of AI-driven features in production
• Collaborate closely with product managers, designers, and engineering peers to define feature direction
• Continuously improve engineering processes and tooling to support rapid AI iteration
• Stay current with emerging AI research and translate insights into practical implementations
• Ensure high standards of code quality, system design, and user experience across releases

Requirements:

You bring strong full-stack engineering experience at scale, combined with hands-on exposure to building and shipping AI-powered features in real production environments. You are comfortable working across ambiguity, experimentation, and fast iteration cycles.

• 6+ years of experience as a full-stack engineer on high-traffic production applications
• Strong proficiency in Ruby on Rails, ReactJS, and relational databases (PostgreSQL/MySQL)
• Hands-on experience building production AI features such as RAG systems, AI agents, or LLM-powered tools
• Proven ability to design and run experiments (A/B testing, evaluation frameworks, iterative product testing)
• Strong understanding of backend and frontend systems, with ability to work across the stack
• Experience working in scalable, performance-sensitive environments
• Comfort operating in fast-paced, ambiguous environments with evolving requirements
• Strong collaboration skills and ability to work closely with cross-functional teams
• Excellent English communication skills (written and verbal)
• Strong bias toward action, experimentation, and measurable outcomes