OuterBox

Application Engineer

• Collaborate in designing and building resilient, AI-integrated software for complex internal applications, with emphasis on API development, data services, and cloud infrastructure
• Work hands-on with code and architecture to ensure systems align with user needs, company objectives, and the growing role of AI within our product suite
• Build and maintain AI-powered features within internal applications, integrating APIs from providers such as OpenAI, Anthropic, and Google
• Scope, implement, and harden LLM-connected capabilities with an emphasis on reliability, performance, and practical utility - from integration design through testing and production deployment
• Write and manage application code, scripts, and automations using JavaScript, Python, and PHP
• Design and maintain serverless Cloud Functions on AWS, with emphasis on performance, reliability, and clean integration with AI-driven workflows
• Perform data management using MySQL and PostgreSQL. Ensure the scalability, reliability, and security of all database systems supporting both traditional and AI-enhanced application layers
• Identify and resolve complex technical issues — including those specific to AI integration, model behavior, and API reliability — both independently and collaboratively, ensuring smooth operation across all systems and components
• Maintain clear, precise documentation of code, AI workflows, system behaviors, and processes
• Wield AI effectively across the full development lifecycle - using tools like Claude Code, Cursor, GitHub Copilot, and AI-enabled CLI utilities to accelerate coding, code review, debugging, and testing
• Champion AI DevOps practices for how the team builds, iterates, governs, and scales applications: automated pipelines, AI-assisted testing, deployment tooling, and performance monitoring
• Lead the implementation phase by overseeing code quality, performing reviews, and ensuring solutions follow best practices - including those specific to AI-integrated systems
• Optimize application performance in cloud environments, focusing on efficient use of AWS services, SQS handling, and automated testing
• Provide mentorship and guidance to the development team, including on AI integration approaches, development tooling, and application architecture

Senior Application Engineer