Fast Facts

Join Coursera as a Full-Stack AI Engineer, where you'll create innovative AI-driven learning experiences from the ground up and work in a collaborative and fast-paced environment.

Responsibilities: Develop full-stack features using React and Node.js, create AI-powered learning experiences, prototype and iterate based on user feedback, and maintain robust testing and deployment processes.

Skills: Expertise in full-stack development (React, Node.js, Python), knowledge of Generative AI, experience with cloud environments, and understanding of RESTful APIs and databases.

Qualifications: 1-4 years of relevant experience and strong communication skills, with a passion for exploring AI in online learning.

Location: This role is in-person at Coursera's Mountain View office, USA.

Compensation: $158000 - $198000 / Annually

Coursera was launched in 2012 by Andrew Ng and Daphne Koller with a mission to provide universal access to world-class learning. It is now one of the largest online learning platforms in the world, with 183 million registered learners as of June 30, 2025. Coursera partners with over 350 leading university and industry partners to offer a broad catalog of content and credentials, including courses, Specializations, Professional Certificates, and degrees. Coursera’s platform innovations enable instructors to deliver scalable, personalized, and verified learning experiences to their learners. Institutions worldwide rely on Coursera to upskill and reskill their employees, citizens, and students in high-demand fields such as GenAI, data science, technology, and business. Coursera is a Delaware public benefit corporation and a B Corp.

Join us in our mission to create a world where anyone, anywhere can transform their life through access to education. We're seeking talented individuals who share our passion and drive to revolutionize the way the world learns.

At Coursera, we are committed to building a globally diverse team and are thrilled to extend employment opportunities to individuals in any country where we have a legal entity. We require candidates to possess eligible working rights and have a compatible timezone overlap with their team to facilitate seamless collaboration. 

Coursera has a commitment to enabling flexibility and workspace choices for employees. Our interviews and onboarding are entirely virtual, providing a smooth and efficient experience for our candidates. As an employee, we enable you to select your main way of working, whether it's from home, one of our offices or hubs, or a co-working space near you.

Job Overview:

We’re seeking a Full-Stack AI Engineer to join a small, cross-functional team focused on building AI-native learning experiences from the ground up. This is a high-impact role where you’ll create innovative, personalized learning features, experiment with new AI capabilities, and move fast from concept to prototype to production.

You’ll work closely with designers, product managers, and other engineers in a maker-driven environment where everyone contributes directly to building the product. The role emphasizes practical use of Generative AI—both in the features we ship and in how you work every day.

This role is an in-person role in our Mountain View office. 

Responsibilities:

• Build and ship full-stack features using React (or similar), Node.js, and Python.
• Create AI-driven learning experiences—including hyper-personalization, adaptive content, and intelligent assistance—by leveraging Generative AI frameworks, APIs, and orchestration tools.
• Use AI proactively in your development workflow for scaffolding, refactoring, and testing code—while critically reviewing AI-generated output for quality and performance.
• Rapidly prototype, test, and iterate on ideas based on user feedback.
• Collaborate across disciplines to integrate AI capabilities into seamless, intuitive user experiences.
• Implement and maintain robust testing, deployment, and monitoring for AI-enabled features.

Why You’ll Love This Role

• Impact: Help shape the future of personalized education for millions of learners worldwide.
• Velocity: Work in a fast-moving environment with short iteration cycles and room for bold experimentation.
• Innovation: Build AI-native features and workflows from scratch, unencumbered by legacy constraints.
• Culture: Join a collaborative, hands-on team where your ideas can go from sketch to shipped in weeks.

Basic Qualifications:

• 1–4 years of professional experience in full-stack development (React/Next.js, Node.js, Python) and working with cloud environments (AWS, GCP, Azure).
• Knowledge of Generative AI concepts and experience applying them to create practical, user-facing applications.
• Hands-on experience using AI coding assistants (e.g., GitHub Copilot, ChatGPT) to speed up development without compromising quality.
• Understanding of RESTful API design, databases (SQL/NoSQL), and modern application architectures.
• Bonus: familiarity with retrieval-augmented generation (RAG), embeddings, or vector databases.
• Strong communication skills, curiosity, and a passion for pushing the boundaries of what’s possible in online learning.

If this opportunity interests you, you might like these courses on Coursera:

• Generative AI for Software Development
• Meta Front-End Developer Professional Certificate
• Google Cloud Engineering Professional Certificate
• Front-End Web Development with React

Compensation

US Zone 1

$158,000 - $198,000

The range(s) listed above is the expected annual base salary for this role, subject to change.

Salary is just one component of Coursera’s total rewards package. All regular employees are also eligible for a bonus program and equity in the form of RSU’s.

A number of factors are taken into account when determining pay, which includes: job level, location, training/education, business need, skill set and internal equity. 

#LI-Onsite 

Coursera is an Equal Employment Opportunity Employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, age, marital status, national origin, protected veteran status, disability, or any other legally protected class.

If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, please contact us at [email protected].

For California Candidates, please review our CCPA Applicant Notice here.

For our Global Candidates, please review our GDPR Recruitment Notice here.