Full-Stack Engineer Intern

San Francisco, California

Deeplearning AI – Engineering /

Internship /

Hybrid

AI is the new electricity. It is transforming every aspect of our lives and millions of AI engineers and builders are needed to continue evolving this field. DeepLearning.AI is on a mission to grow and connect the global AI community and empower everyone to build with AI. We offer world-class education, hands-on training, access to AI news and a collaborative community. We’re a small tech company with serious credentials, exciting marketing challenges, and wonderful teammates.

About The Internship:

Join us for a 3-month internship where you'll work side-by-side with experienced technical leaders to build 0-to-1 products from scratch. You’ll contribute across the stack, shape core features, and gain firsthand experience in a high-velocity, ambitious environment. We’re looking for someone with strong technical fundamentals and a builder’s mindset—someone who thrives on solving hard problems and wants to make a tangible impact from day one. Exceptional performance during the internship may lead to a full-time offer.

What You’ll Do:

• Build and iterate on early-stage product features across the full stack.
• Develop responsive, user-friendly frontend interfaces that bring product ideas to life.
• Implement associated backend systems, including APIs, databases, and third-party integrations.
• Apply GenAI tools and building blocks—such as prompt engineering, RAG, vector databases, agentic frameworks, and guardrails—to prototype real-world solutions.
• Write unit and integration tests to ensure code quality and maintainability.
• Use AI-assisted coding tools (e.g., Cursor, Windsurf, GitHub Copilot) to accelerate development.
• Collaborate with design, product, and research teams to turn concepts into working features.
• Gain exposure to CI/CD workflows and participate in deploying features to production.
• Identify and resolve bugs or performance issues across the stack.
• Continuously improve our development practices, tools, and team processes.
• Stay up to date with the latest technologies and trends in fullstack and AI-driven development.

What You Must Bring:

• Strong academic background—currently pursuing or recently graduated with a degree in Computer Science, Engineering, or a related technical field from a top-tier university.
• Solid understanding of core computer science concepts, including data structures, algorithms, object-oriented programming, and systems design.
• Demonstrated experience building fullstack applications through personal projects, coursework, hackathons, or open-source contributions.
• Proficiency in at least one general-purpose programming language (e.g., Python, JavaScript/TypeScript, Java, Go, etc.).
• Familiarity with web development technologies and frameworks (e.g., React, Next.js, Node.js, Flask, etc.).
• Curiosity and motivation to explore and apply Generative AI technologies (prompt engineering, RAG, vector DBs, agentic tools).
• Familiarity with AI-assisted coding tools (e.g., GitHub Copilot, Cursor).
• Excellent problem-solving skills and a builder mindset—you enjoy turning ideas into real products.
• Clear, thoughtful communicator who thrives in collaborative environments.

Nice To Haves:

• Internship or professional work experience at a top-tier tech company or venture-backed startup.
• Exposure to cloud platforms (e.g., AWS, GCP) or DevOps tools (e.g., Docker, Kubernetes, CI/CD pipelines).

We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by applicable law. AI Fund believes that diversity and inclusion among our employees is critical to our success as a company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. Selection for employment is decided on the basis of qualifications, merit, and business need.