Sr Staff Gen AI Application Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sr Staff Gen AI Application Engineer based in the United States.

Overview

We are looking for an experienced Senior Staff Generative AI Application Engineer to drive the development of next-generation enterprise software using advanced AI-powered coding tools and agentic workflows. In this role, you will leverage Claude Code and generative AI technologies to design, build, deploy, and maintain scalable, secure, and high-performance applications. You will help modernize legacy systems, accelerate software prototyping, and support strategic decisions about building custom solutions versus adopting commercial SaaS platforms. Working across engineering, product, and business teams, you will translate complex requirements into robust architectures, intuitive user experiences, and reliable production-ready applications. You will also establish reusable development patterns, strengthen engineering standards, and promote the effective adoption of AI-assisted software development across the organization. This opportunity is ideal for a technically strong, forward-thinking engineer passionate about innovation, automation, application security, and transforming enterprise software delivery. The position offers a remote work option within the United States and the opportunity to influence how generative AI reshapes modern engineering practices.

Accountabilities

• Architect AI-powered applications: Design and implement scalable, maintainable, and secure software solutions from the ground up using Claude Code and agentic development workflows.
• Modernize legacy systems: Evaluate existing applications, identify functional and technical requirements, and develop high-performance replacement solutions using generative AI development tools.
• Develop integrated software solutions: Build complex, modular applications, including modern user interfaces, robust APIs, cloud-native services, and web experiences that meet enterprise requirements.
• Maintain and improve AI-generated code: Support existing codebases, refine generated code, enhance application functionality, and continuously improve deployment pipelines and software reliability.
• Troubleshoot and resolve technical issues: Investigate application performance, data handling, and security problems, identifying defects in AI-generated code and implementing corrective prompts or structural code improvements.
• Collaborate with business and product teams: Work closely with cross-functional stakeholders to understand business needs and translate requirements into effective technical designs, agentic prompts, and application specifications.
• Accelerate prototyping and innovation: Support build-versus-buy decisions by rapidly developing and deploying minimum viable products (MVPs) to evaluate internal development capabilities against commercial SaaS solutions.
• Optimize AI-assisted development workflows: Use advanced context management, automated validation loops, and agentic frameworks to improve development speed, code quality, and engineering efficiency.
• Establish technical documentation and standards: Create technical specifications, architectural blueprints, repository documentation, and structured engineering resources that support AI-assisted development and future code iterations.
• Maintain security and compliance: Review AI-generated designs and code changes to ensure adherence to established engineering standards, application security requirements, and organizational safety and security guardrails.
• Promote knowledge sharing and team development: Mentor colleagues, share effective Claude Code techniques, document successful prompting patterns, and help teams adopt scalable, repeatable AI-assisted development practices.
• Support enterprise transformation: Contribute to initiatives that modernize software delivery, improve operational efficiency, and expand the practical use of generative AI across enterprise engineering.

Requirements

• Education and professional experience: A bachelor’s degree from an accredited university or college with at least five years of professional experience, an associate degree with at least eight years of experience, or a high school diploma with at least ten years of experience. A minimum of five years of professional software engineering …