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Senior Full-Stack AI Engineer

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Coursera

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Location:
United States , Mountain View

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Contract Type:
Not provided

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Salary:

160000.00 - 235000.00 USD / Year

Job Description:

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.

Job Responsibility:

  • 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

Requirements:

  • 5+ years of professional experience in full-stack development (React/Next.js, Node.js, Python)
  • 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)
  • Understanding of RESTful API design, databases (SQL/NoSQL), and modern application architectures
  • Strong communication skills, curiosity, and a passion for pushing the boundaries of what’s possible in online learning

Nice to have:

Familiarity with retrieval-augmented generation (RAG), embeddings, or vector databases

What we offer:
  • Competitive, zone-based pay aligned to your location, experience, and role level
  • Comprehensive health and wellness benefits
  • Bonus and RSU equity programs
  • Global perks designed to help you grow and thrive wherever you are

Additional Information:

Job Posted:
January 04, 2026

Employment Type:
Fulltime
Work Type:
On-site work
Job Link Share:

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