Factored was conceived in Palo Alto, California by Andrew Ng and a team of highly experienced AI researchers, educators, and engineers to help address the significant shortage of qualified AI & Machine-Learning engineers globally. We know that exceptional technical aptitude, intelligence, communication skills, and passion are equally distributed around the world, and we are very committed to testing, vetting, and nurturing the most talented engineers for our program and on behalf of our clients.
Functional Responsibilities:
- Build responsive and interactive web applications using React, focusing on performance, usability, and maintainability.
- Design and implement RESTful or GraphQL APIs using Python frameworks such as FastAPI, Django, or Flask.
- Develop and optimize database schemas (PostgreSQL, MySQL, or NoSQL) and ensure smooth data integration between backend, AI, and frontend systems.
- Collaborate with AI/ML engineers to integrate Generative AI components—such as LLM APIs, RAG architectures, or prompt-driven features—into the application.
- Deploy and maintain applications on cloud platforms (AWS preferred, but Azure or GCP experience is also welcome).
- Implement CI/CD pipelines to support automated testing and deployment.
- Write and maintain unit and integration tests using tools like Jest, pytest, or React Testing Library.
- Integrate authentication and authorization systems (OAuth2.0, JWT, or SSO).
- Work closely with designers, product managers, and DevOps teams to deliver high-quality, scalable solutions.
- Stay current with emerging technologies in web development and AI, sharing ideas and improvements with the team.
Qualifications:
- 5+ years of experience as a Full-Stack Engineer, working across both frontend and backend systems.
- Strong proficiency in Python and experience with frameworks such as FastAPI, Django, or Flask.
- Solid experience with JavaScript/TypeScript and React, building modern, responsive, and maintainable user interfaces.
- Comfortable designing and consuming RESTful or GraphQL APIs and integrating with third-party services.
- Hands-on experience with SQL and familiarity with data modeling and performance optimization.
- Exposure to Generative AI technologies such as LLMs, RAG architectures, or prompt engineering is a strong plus.
- Working knowledge of cloud platforms (AWS, Azure, or GCP), including deployment and basic infrastructure management.
- Experience with CI/CD pipelines, testing frameworks, and version control (Git).
- Strong problem-solving and collaboration skills, with a proactive and curious mindset.
- Excellent communication skills in English, both written and verbal.
Top Skills
What We Do
Factored (backed by Andrew Ng's AI Fund and deeplearning.ai) helps leading tech companies select, upskill, and build world-class data science, machine learning and AI engineering teams much faster and more cost effectively. Our engineers have been personally vetted, educated, and mentored by some of the most talented and recognized AI educators and engineers from Silicon Valley, Stanford University and deeplearning.ai.








