Senior Engineer, AI Foundations

Role Overview

• Architect and build the AI foundations platform that enables teams to integrate AI, LLMs, and generative capabilities into product experiences at scale.
• Design and develop shared backend services, APIs, orchestration layers, and platform components that support AI-powered workflows across multiple teams and applications.
• Work directly with AI/LLM technologies to support intelligent content workflows, generation pipelines, moderation and curation systems, and productivity enhancing product experiences.
• Build robust server-side systems using Node.js, Java, or similar technologies, with a strong focus on scalability, reliability, performance, and maintainability.
• Define and scale engineering best practices for AI development, including service design, evaluation workflows, observability, operational readiness, and production quality standards.
• Develop systems that support distributed architectures, real-time collaboration, and multimedia-rich experiences, especially where AI capabilities are deeply embedded in customer-facing workflows.
• Partner across teams to increase adoption of AI platform capabilities, reusable abstractions, and engineering standards that accelerate delivery and improve consistency.
• Own projects end-to-end — from design and prototyping through implementation, testing, delivery, monitoring, and continuous improvement.
• Contribute to engineering excellence through design reviews, code reviews, pair programming, and mentorship, helping raise the bar for software quality and AI-ready architecture across the organization.

Requirements

• Bachelor’s or Master’s degree in Computer Science or a related field, or equivalent practical experience.
• Significant experience building and shipping production software in a product-focused environment, with a track record of owning complex initiatives end-to-end.
• Deep expertise in TypeScript / JavaScript and strong experience building modern web applications using technologies such as Web Components, React, ES6, TypeScript, Redux, or MobX.
• Strong experience designing and owning backend services using Node.js, Java, or similar technologies.
• Hands-on experience working directly with AI systems, including LLM APIs, generative AI capabilities, prompt engineering, context engineering, or AI-powered product workflows.
• Proven ability to architect and implement scalable, efficient systems in collaboration with large, cross-functional teams.
• Strong understanding of software architecture, design patterns, distributed systems, and production engineering tradeoffs.
• Experience in troubleshooting complex systems and using strong judgment to evaluate multiple technical solutions.
• Ability to thrive in fast-moving, ambiguous environments with high ownership and bias for action.
• Familiarity with modern engineering tools and workflows such as GitHub, VS Code or Cursor, Bazel, and AI-assisted coding tools.

Tech Stack

• Distributed Systems
• Java
• JavaScript
• MobX
• Node.js
• React
• Redux
• TypeScript

Benefits

• Comprehensive benefits programs
• Professional development opportunities
• Flexible work arrangements