AI Engineer - $76.92 - $93.75 per hour

About the role

This opportunity is for a Senior Applied AI Engineer to design, build, and scale the systems that power AI across a modern SaaS platform. The role focuses on developing reliable, production-ready AI infrastructure and frameworks that enable engineers to build high-quality AI features powered by large language models.

What You'll Do

• Design and implement scalable AI services and supporting infrastructure that enable AI-powered product capabilities across the platform.
• Develop solutions that evaluate and improve the quality of large language model (LLM) outputs.
• Build frameworks and internal tooling that accelerate AI feature development across the engineering organization.
• Develop and maintain systems supporting model tuning, evaluation, and optimization.
• Contribute directly to the deployment, operational stability, and long-term reliability of AI services in production environments.
• Optimize AI services for latency, reliability, scalability, and cost efficiency.
• Partner with technical leadership to evaluate emerging AI technologies and recommend architecture, model selection, and system design approaches.
• Provide technical guidance to engineers developing AI-powered features while promoting engineering best practices and scalable development patterns.
• Contribute to technical architecture discussions related to AI systems, platform capabilities, and future product evolution.

Qualifications

• 5+ years of software engineering experience, including strong backend or distributed systems development.
• Strong Python programming experience.
• Experience designing and building backend services or distributed systems.
• Experience integrating LLM APIs, generative AI services, or AI-enabled capabilities into production environments.
• Experience evaluating and improving AI model performance in production systems.
• Strong systems design, architecture, and problem-solving skills.
• Able to collaborate effectively within cross-functional engineering teams.

Benefits

• Annual performance bonus.
• Equity participation.
• Comprehensive benefits package.
• Opportunity to build practical AI solutions that help improve users' financial well-being.
• Work on production AI applications deployed within a live SaaS platform.
• Remote-first work environment.
• Collaborate with experienced engineering and product leaders.