Senior Software Developer, Fullstack

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.