Senior Application Engineer

The Senior Application Engineer designs and builds resilient software for complex internal applications, focusing on API development, data services, and cloud infrastructure, with a strong emphasis on AI integration and tooling.

Location: Remote (US)

Salary: $95,000–$120,000

Responsibilities

• Collaborate in designing and building resilient, AI-integrated software for complex internal applications, with emphasis on API development, data services, and cloud infrastructure.
• Build and maintain AI-powered features within internal applications, integrating APIs from providers such as OpenAI, Anthropic, and Google.
• Write and manage application code, scripts, and automations using JavaScript, Python, and PHP.
• Perform data management using MySQL and PostgreSQL.
• Identify and resolve complex technical issues — including those specific to AI integration, model behavior, and API reliability.
• 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.
• Lead the implementation phase by overseeing code quality, performing reviews, and ensuring solutions follow best practices.
• Provide mentorship and guidance to the development team, including on AI integration approaches, development tooling, and application architecture.
• Additional duties, as assigned.

Requirements

• 4+ years of professional software engineering experience, with a track record of shipping and maintaining production systems.
• Strong foundation in computer science fundamentals — data structures, algorithms, time/space complexity, and object-oriented and functional design patterns.
• Experience integrating third-party APIs (including generative AI providers like OpenAI, Anthropic, or Google) into production.
• Proficiency with AI-powered development tools such as Claude Code, Cursor, GitHub Copilot, or equivalent CLI and agentic coding tools.
• Familiarity with AI DevOps practices: using AI tooling across the SDLC for code review, automated testing, deployment pipelines, and application monitoring.
• Solid experience with SQL for data manipulation and analysis.
• Proven ability to build, deploy, and manage applications in cloud environments, specifically AWS.
• Experience designing and implementing well-structured APIs for data integration across systems.
• Experience working with structured data and running extract, load, and transform (ETL) processes.
• Strong debugging and systems-thinking skills.
• Effective communication with the ability to break down technical concepts for non-technical stakeholders.

Benefits

• High-character, fun, and cohesive work culture
• Competitive base salary
• PTO that is genuinely encouraged
• Affordable, low-deductible health insurance plans
• Supplemental benefits, including employer-paid life insurance, short & long term disability insurance
• 401k with company match
• Remote work flexibility
• Supportive, transparent, and accessible leadership
• Professional/individual development stipend