Staff Full Stack Engineer

Description

• Define front-end architecture and technical strategy, designing scalable platforms and leading complex UI systems development (e.g., React, Angular, Next.js) • Build polished, demo-ready front-end experiences that communicate the value of AI systems to clients and stakeholders • Define front-end standards and best practices, and contribute to shared design systems • Lead back-end development and API architecture in Python and Node.js, integrating complex systems and third-party platforms • Design and implement channel integrations across chat, voice, and web surfaces, including real-time messaging, webhook pipelines, and event-driven patterns • Design efficient database schemas and optimize performance across relational and NoSQL systems • Drive backend performance, scalability, and reliability, and own implementation of security best practices including authentication and authorization • Lead monitoring, observability, and reliability practices across production systems • Lead the design and integration of AI services into production full-stack systems, including LLM APIs, streaming, tool and function calling, multi-step agent flows, and RAG patterns • Bring an AI-forward mindset to your daily work, using tools like Claude, Cursor, and other modern AI assistants to ship higher-quality work at pace

Requirements

• 7+ years of professional software engineering experience, with experience leading complex full-stack initiatives • Deep proficiency in React or Angular with strong JavaScript and TypeScript skills (e.g., React, Angular, Next.js) • Strong experience with state management • Strong command of modern CSS frameworks and build tooling • Strong back-end development and API architecture experience in Python and Node.js • Hands-on experience building channel integrations across chat (e.g., Slack, Teams, SMS), voice (e.g., Twilio, PSTN), and web surfaces • Strong testing practices across unit, integration, and UI testing • Deep expertise in relational and NoSQL databases, caching, and query optimization • Strong experience with microservices architecture, event-driven systems, and message queues • Strong experience with cloud platforms and container orchestration • Strong experience with CI/CD pipelines • Strong experience integrating AI services into production full-stack systems, including LLM APIs, streaming, tool and function calling, multi-step agent flows, and RAG patterns • Ability to build fast, high-fidelity front-end demos and prototypes that communicate technical capability to non-technical audiences • Comfort working closely with design tools and partners to ship polished, accessible UI (e.g., Figma) • Demonstrated leadership and technical mentoring experience across a team or organization • Strong stakeholder communication skills, with the ability to translate technical depth across audiences • Demonstrable, day-to-day usage and expert knowledge of AI-forward tools such as Claude and Cursor • Excellent problem-solving skills and the ability to navigate highly ambiguous technical and business challenges with sound judgment.

Benefits

• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Remote work options

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