Software Engineer II – AI Platform

Your Impact on Team:
We are seeking a Software Engineer II to join our AI Platform team. The ideal candidate will be a versatile full stack engineer with experience building modern web applications across the entire stack. You'll be working in an AI-driven environment, with the core focus on full stack engineering across modern web applications. This role requires a collaborative individual who can contribute across frontend, backend, infrastructure, and cloud layers while working alongside data scientists and product teams.

What You'll Do

• Design, develop, and maintain full stack web applications and platform features that are reliable, maintainable, and scalable.
• Develop and maintain software solutions that comply with accessibility standards such as WCAG 2.2 AA. Integrate accessibility best practices into code, testing, and design processes.
• Work closely with data scientists, product managers, and other engineers to deliver high-quality solutions.
• Explore opportunities to integrate AI capabilities into applications where they add clear value to the user experience.
• Implement best practices for application security and ensure compliance with relevant data privacy and protection regulations.
• Contribute to CI/CD processes to allow for smoother releases.
• Support cloud infrastructure optimizing for performance, cost, and security.
• Apply engineering best practices within your team to ensure quality, stability, performance, resiliency, and maintainability of your software.

About You:

• 3+ years of experience in product or enterprise software development.
• Hands-on experience on the full software stack including Frontend (Angular/React), Backend / API (Python / Node.js / Golang), Databases (such as MySQL and PostgreSQL, NoSQL databases such as DynamoDB) and Infrastructure (AWS/Azure, Terraform).
• Experience implementing accessible features in web applications.
• Experience building full stack features across frontend (Angular or React), backend APIs (Python/Golang or Node.js), and cloud infrastructure (AWS or Azure).
• Familiarity with AI or machine learning integrations is a plus; hands-on experience with LLM frameworks such as LangChain or similar is desirable but not required.
• Awareness of Retrieval-Augmented Generation (RAG) patterns or similar AI integration techniques is a bonus.
• Solid technical abilities in software development, testing, monitoring, performance tuning and deployment pipelines.
• Strong technical communication and collaboration skills.
• Passion for technology and commitment to staying current on modern engineering practices and emerging capabilities.