Full Stack Software Engineer, AI/ML Tools

Job summary

Imagine what you could do here! At App***, new ideas have a way of becoming extraordinary products, services, and experiences very quickly, and that holds just as true for the tools we build internally as for the products the world sees. The Human Research and Engineering Solutions AI/ML team builds the software that App***'s Hardware Engineering organizations rely on to do their best work.

Qualifications

• At App***, new ideas have a way of becoming extraordinary products, services, and experiences very quickly, and that holds just as true for the
• Bachelor's or Master’s degree in Computer Science or a related field, or equivalent practical experience.
• 6+ years of experience delivering production software through the full software development lifecycle, from
• and system design to implementation, testing, deployment, and ongoing support.
• A genuine passion for systems architecture thinking, and a habit of reasoning about how components, data, and services fit together at scale
• Experience using AI coding
• Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.
• 4+ years of experience delivering production software through the full software development lifecycle, from
• Strong foundation in software engineering principles, including architecture, API and data design, testing, debugging, security, reliability, performance, and maintainability.
• Experience building full stack applications and the ability to work effectively across user interfaces, backend services, integrations, and data systems.
• Experience using modern development

Responsibilities

• Partner with Hardware Engineering teams to understand their workflows and translate complex needs into intuitive software solutions.
• Own features and applications from problem definition and technical design through implementation, deployment, adoption, and continuous improvement.
• Design and build production-quality full stack applications, including user interfaces, backend services, APIs, data models, and integrations.
• Develop AI-powered and agentic capabilities that connect with engineering data and

Skills

Degrees

Industry

Company size