Sr Staff Gen AI Application Engineer

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 experience is required. Military experience may be considered equivalent to professional experience. Generative AI and agentic development: Strong interest in, and preferably hands-on experience with, AI-assisted coding tools such as Claude Code, agentic software development frameworks, large language models, and emerging generative AI technologies. Software architecture and engineering: Demonstrated ability to understand complex software architectures, solve systemic code challenges, and design modular, maintainable, and production-ready applications. Application development expertise: Working knowledge of modern application development, including user interface design, API development, data layers, cloud architectures, and web technologies. Production deployment experience: Experience deploying, scaling, supporting, and maintaining new software applications in enterprise environments, with a focus on reliability and operational stability. Cloud and development environments: Familiarity with modern developer environments, cloud infrastructure, and the tools and processes required to build and operate cloud-native applications. DevOps and version control: Experience with Git-based development workflows, version control management, automated testing, continuous integration and continuous delivery (CI/CD) pipelines, and deployment automation. Application security: Strong awareness of secure coding practices, application security controls, prompt defense, and methods for validating AI-generated code against established engineering standards. Testing and quality assurance: Ability to implement automated validation, monitor system telemetry, investigate defects, and ensure software meets functional, performance, reliability, and security expectations. Analytical and problem-solving skills: Excellent critical-thinking abilities, with the capacity to evaluate technical information, identify root causes, anticipate obstacles, and develop effective solutions in a rapidly evolving environment. Technical communication: Ability to produce clear technical specifications, architecture documentation, and engineering guidance while communicating complex concepts effectively to technical and non-technical stakeholders. Collaboration and leadership: Strong interpersonal skills and the ability to work effectively with multidisciplinary teams, incorporate feedback from colleagues and AI development agents, and mentor other engineers. Customer-focused mindset: Commitment to understanding end-user needs and delivering intuitive, accessible, and reliable user experiences through thoughtful application design and user interface development. Adaptability and continuous learning: Enthusiasm for emerging technologies, willingness to experiment with new development methods, openness to feedback, and the ability to thrive in a fast-paced, innovation-driven environment. Work authorization: Legal authorization to work in the United States is required. Employment visa sponsorship is not available now or in the future. Export control eligibility: Because the role requires access to U.S. export-controlled information, candidates must be able to establish eligible U.S. Person status, such as U.S. citizenship, lawful permanent residency, or qualifying asylee or refugee status. Benefits Competitive annual base salary: $143,000–$190,000 USD, depending on relevant experience, education, skills, and other job-related factors. Annual incentive opportunity: Eligibility for a discretionary annual bonus based on a percentage of base salary, subject to the applicable compensation plan. Remote work flexibility: Fully remote position, with work performed within the United States and subject to applicable work location requirements. Comprehensive healthcare coverage: Medical, dental, vision, and prescription drug benefits. Employee wellness resources: Access to health coaching and an Employee Assistance Program offering confidential assessment, counseling, and referral services 24 hours a day, seven days a week. Retirement savings: Access to a 401(k) retirement savings plan with employer matching contributions and additional company retirement contributions, along with financial planning resources. Paid time off: Vacation and sick leave to support work-life balance and personal well-being. Family support benefits: Adoption assistance and paid parental leave. Insurance protection: Disability insurance and life insurance coverage. Learning and development: Tuition assistance and opportunities for continued professional growth. Innovative technical environment: Opportunities to work with advanced generative AI tools, agentic coding workflows, cloud-native technologies, and enterprise-scale software modernization initiatives. Relocation assistance: Not available for this position.