Senior Full-Stack AI Engineer

  • United States
  • Engineering
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Coursera was launched in 2012 by Andrew Ng and Daphne Koller with a mission to provide universal access to world-class learning. Today, it is one of the largest online learning platforms in the world, with 191 million registered learners as of September 30, 2025. Coursera partners with over 375 leading universities and industry partners to offer a broad catalogue of content and credentials, including courses, Specializations, Professional Certificates, and degrees. Coursera’s platform innovations — including generative AI-powered features like Coach, Role Play, and Course Builder, and role-based solutions like Skills Tracks — enable instructors, partners, and companies to deliver scalable, personalized, and verified learning. Institutions worldwide rely on Coursera to upskill and reskill their employees, students, and citizens in high-demand fields such as GenAI, data science, technology, and business, while learners globally turn to Coursera to master the skills they need to advance their careers. Coursera is a Delaware public benefit corporation and a B Corp.

We’re a global platform aiming to transform lives through learning by offering transformative courses, certificates, and degrees that empower learners worldwide to advance their careers through skill mastery. We’re looking for inventors, innovators, and lifelong learners eager to shape the future of education. If you’re ready to build the global programs and tools that fuel the power of online learning, join Team Coursera.

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:

  • 5 + 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:

Compensation

US Zone 1

$160,000 - 235,000 USD

Current Zone Locations:

Compensation for this role is location-based using four U.S. pay zones:
  • US-Z1: Bay Area
  • US-Z2: NYC and Seattle Metro
  • US-Z3: CA, WA, NY, NJ, CO, CT, DC, GA, IL, MA, MD, OR, RI, TX, VA
  • US-Z4: All other U.S. states
Base pay aligns to your zone and will also reflect your experience and role level. Your recruiter will confirm your zone and the applicable range early in the process; we disclose pay ranges where required.

 

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 accommodations@coursera.org.
 
For California Candidates, please review our CCPA Applicant Notice here.
For our Global Candidates, please review our GDPR Recruitment Notice here.
 

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