About Coursera
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 197 million registered learners as of December 31, 2025.
Coursera partners with over 375 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 — 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
Why Join Us
At Coursera, we’re looking for inventors, innovators, and lifelong learners ready to shape the future of education. You’ll help build global programs and tools that power online learning for millions turning bold ideas into real impact. People who thrive here are customer-first builders who move fast, simplify ruthlessly, and iterate relentlessly on the metrics that matter.
We’re a globally distributed team and let you choose the best way you work, whether it's from home, a Coursera hub, or a co-working space near you. Our virtual hiring and onboarding make it easy to join us and start making an impact from anywhere. If you’re ready to make a global impact, scale unique products exclusive to Coursera, and expand your career horizons, apply below.
Job Overview:
The Coach team is leading Coursera’s AI initiatives by developing a GenAI platform that enables rapid creation, deployment, and management of LLM-powered features across the organization. In the coming quarters we’re looking to introduce exciting new capabilities on the platform, including a multi-agent workflow builder, improving and expanding our RAG pipeline, adding new modalities such as audio, image, video generation, and building out a UI component library that can present a unified AI experience on multiple surfaces. As a fullstack engineer, you’ll have the unique opportunity to shape and build both backend systems and frontend experiences, to deliver meaningful impact.
Responsibilities:
- Design and implement scalable & robust frontend and backend applications, bringing a clean, consistent, and high-quality look and feel to every step of the learner journey
- Integrate with leading model providers (OpenAI, Gemini, etc.) and evaluate trade-offs between models
- Design and implement data pipelines that feed LLMs, embeddings, and retrieval systems
- Use and explore AI-powered coding and design tools to accelerate delivery and creativity
- Measure your work thoroughly, analyze results, and generate hypotheses to drive new product changes through A/B testing
- Upgrade critical and legacy UI components, improving accessibility, performance, and visual polish
- Collaborate closely with design, business, and product stakeholders to find the best solutions and adapt to changes
- Share knowledge and guide other teams in using the design system and visual standards on the frontend, and in using the platform to power LLM based features on the backend
Qualifications:
- 5+ years of professional software engineering experience building web applications
- Solid experience across both frontend and backend (for example: React/TypeScript on the frontend and Java or similar on the backend)
- Has designed, built, and owned end‑to‑end features or systems in production
- Deep understanding of API design (REST and/or GraphQL), service-to-service communication, and microservice architectures
- Familiar with modern engineering practices such as code review, testing, and CI/CD, and working in a cloud environment
Nice to haves:
- Familiar with prompt engineering, context engineering, model APIs, embeddings, tokenization, guardrails, and quality evaluation
- Loves innovating and is curious about AI-assisted development
- Balances long-term design thinking with quick execution on urgent goals
- Communicates clearly and enjoys working closely with Product, Design, and other partners on shaping the work
- Passionate about performance, accessibility, and visual details
Keep Learning
If this opportunity interests you, you might like these courses on Coursera:
- Generative AI for Software Development
- Meta Front-End Developer Professional Certificate
- AI Agent Developer Specialization
- Front-End Web Development with React
- HTML, CSS, and Javascript for Web Developers
Compensation:
Coursera offers competitive pay and equitable compensation practices. Our job titles may span more than one career level. The targeted hiring base salary range for this role is between CAD $137,600-$172,000 for all Canada candidates. The actual base pay is dependent upon many factors, including but not limited to prior work experiences, training/education, transferable skills, business needs, and geographical location. The base pay range is subject to change and may be modified in the future. This role may also be eligible for variable pay, equity, and benefits.
Coursera is an Equal Opportunity Employer committed to building a welcoming and inclusive workplace. We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request at [email protected]. Learn more in our CCPA Applicant Notice and GDPR Recruitment Notice.
To protect against recruitment fraud, please note that Coursera recruiters will only communicate with candidates using official coursera.org email addresses. We do not conduct interviews or negotiate offers via personal or non-coursera.org accounts.
