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Senior Full-Stack Engineer (Python & Angular)
Latin America
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.
We seek a skilled Full-Stack Engineer with expertise in Angular and Python to join our dynamic development team. In this role, you will be responsible for designing, developing, and implementing cutting-edge applications, working across both the Front-End and Back-End to deliver high-quality, scalable solutions.
Functional Responsibilities:
- Develop and maintain a scalable frontend using Angular, ensuring high-quality and performant UI components.
- Architect and implement robust backend services using Python and FastAPI/Django/Flask.
- Design and optimize RESTful and GraphQL APIs for AI-driven workflows.
- Implement and manage workflow automation and event-driven architectures using Celery, RabbitMQ, or Kafka.
- Ensure security, performance, and scalability across the full stack.
- Work with AWS/GCP/Azure for cloud infrastructure and deployment.
- Collaborate closely with the product and AI teams to define and refine technical requirements.
- Establish best practices for DevOps, CI/CD, and infrastructure management.
Qualifications:
- Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience).
- Strong experience exclusively with Angular, with a demonstrable portfolio of projects.
- Experience with Python for backend development.
- Strong understanding of PostgreSQL and experience with ORMs like SQLAlchemy or Django ORM.
- Hands-on experience with workflow automation, event-driven systems, or message queues (Celery, RabbitMQ, Kafka).
- Deep knowledge of RESTful and GraphQL API design.
- Familiarity with cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Startup experience or an entrepreneurial mindset, comfortable working in high-ownership, high-ambiguity environments.
- Strong communication skills and ability to work across teams.
- Hands-on experience integrating LLM APIs (OpenAI, Anthropic, etc.) for workflow automation.
- Excellent English communication skills.
At Factored, we believe that passionate, smart people expect honesty and transparency, as well as the freedom to do the best work of their lives while learning and growing as much as possible. Great people enjoy working with other passionate, smart people, so we believe in hiring right, and are very selective about who joins our team. Once we hire you, we will invest in you and support your career and professional growth in many meaningful ways. We hire people who are supremely intelligent and talented, but we recognize that intelligence is not enough. Perhaps more importantly, we look for those who are also passionate about our mission and are honest, diligent, collaborative, kind to others, and fun to be around. Life is too short to work with people who don’t inspire you.
We are a transparent workplace, where EVERYBODY has a voice in building OUR company, and where learning and growth are available to everyone based on their merits, not just on stamps on their resume. As impressive as some of the stamps on our resumes are, we recognize that human talent and passion exist everywhere, and come from many backgrounds, so stamps matter much less than results. All of us are dedicated doers and are highly energetic, focusing vehemently on execution because we know that the best learning happens by doing. We recognize that we are creating OUR COMPANY TOGETHER, which is not only a high-performing fast-growing business but is changing the way the world perceives the quality of technical talent in Latin America. We are fueled by the great positive impact we are making in the places where we do business and are committed to accelerating careers and investing in hundreds (and hopefully thousands) of highly talented data science engineers and data analysts.
In short, our business is about people, so we hire the best people and invest as much as possible in making them fall in love with their work, their learning, and their mission. When not nerding out on data science, we love to make music together, play sports, play games, dance salsa, cook delicious food, brew the best coffee, throw the best parties, and generally have a great time with each other.
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