Senior Application Engineer
Location
United States
Posted
34 days ago
Salary
$95K - $120K / year
Seniority
Senior
Job Description
Senior Application Engineer
OuterBox
• 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
Job Requirements
- 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
- 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
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