Senior Application Engineer

OuterBox

Senior Application Engineer at OuterBox focusing on API development and cloud infrastructure. Collaborating on AI integration for internal applications and driving software resiliency and performance.

Posted 4/28/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $95,000 - $120,000 per yearWebsite

Tech Stack

Tools & technologies

AWSCloudETLGraphQLGRPCJavaScriptLaravelMySQLNode.jsPandasPHPPostgresPythonReactSDLCSQLVue.js

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

4+ years of professional software engineering experience, with a track record of shipping and maintaining production systems
Demonstrated exemplary performance may supersede the experience requirement
Strong foundation in computer science fundamentals — data structures, algorithms, time/space complexity, and object-oriented and functional design patterns — with the ability to apply them across languages
Comfortable picking up new languages and frameworks as needed; current stack exposure to a modern JS framework (Vue/React) and a server-side language (PHP, Python, or Node) is helpful but not required
Laravel familiarity is a plus
Experience integrating third-party APIs (including generative AI providers like OpenAI, Anthropic, or Google) into production, with a clear understanding of rate limits, retries, idempotency, schema design, and failure modes
Demonstrated proficiency with AI-powered development tools such as Claude Code, Cursor, GitHub Copilot, or equivalent CLI and agentic coding tools — as a regular part of a professional engineering workflow
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
Familiarity with data tools like Pandas is a plus
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, with fluency in at least one paradigm (REST, GraphQL, gRPC, or event-driven/messaging) and an understanding of when each is appropriate
Experience working with structured data and running extract, load, and transform (ETL) processes
Strong debugging and systems-thinking skills: able to isolate issues across layers (client, service, data, infra) and reason about non-deterministic behavior, including in AI-integrated systems
Effective communication with the ability to break down technical concepts for non-technical stakeholders.

Benefits

Comp & perks

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 that welcomes ideas, insights & feedback
Professional/individual development stipend

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

JavaScriptPythonPHPMySQLPostgreSQLAPI developmentAI integrationCloud FunctionsSQLETL processes

Soft Skills

collaborationproblem-solvingmentorshipcommunicationdebuggingsystems thinkingleadershipdocumentationperformance optimizationtechnical guidance