Who we are: 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 worldwide, 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 React and Python expertise to join our dynamic development team.
As a Full-stack Engineer, you will contribute to designing, developing, and implementing cutting-edge GenAI applications.
You will be responsible for both backend and frontend development, utilizing your strong programming skills and experience with Python and React.
At Factored, we are building a company that we all hold as our own, every single one of us.
We need your skills to help take this rocketship to new heights and help create new opportunities for us.
In return, you will be rewarded with a fantastic team that supports you, rich culture, shared success, and the flexibility to work from the comfort of your home or anywhere you prefer in Central or South America.
#LI-Remote What you will be doing: Develop new user-facing features using React, ensuring high-quality, reusable, and efficient code.
Participate in code reviews to maintain code quality, identify bugs, and suggest improvements.
Collaborate with cross-functional teams to gather requirements, design solutions, and implement application features.
Support robust and scalable backend components using Python.
Develop and maintain front-end and back-end web applications.
Collaborate with the team to integrate ML models into applications.
Improve the scalability and performance of existing applications.
Assist with hosting and deployment of applications.
Ensure a seamless transition between different environments.
Contribute to the design and development of public-facing demos.
Stay up-to-date with emerging technologies and industry trends, and share your knowledge with the team.
What you must bring: Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience).
5+ years of experience in front-end/back-end web development.
Strong and recent experience exclusively with React and Python, with a demonstrable portfolio of projects.
Solid understanding of web development principles, including RESTful APIs, MVC architecture, and frontend/backend integration.
Familiarity with LLMs.
Strong problem-solving and analytical skills.
Excellent communication and collaboration abilities, with a passion for teamwork.
Ability to adapt to a fast-paced, agile development environment.
Excellent English communication skills, both verbal and written (B2 - C2).
Nice to have: Previous experience working with LLMs, RAG systems.
Experience in developing applications using LangChain, Llama Index, or similar software.
Hands-on experience with open-source models like Llama.
GCP/AWS, Vercel, and Kubernetes ideal.
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 are a transparent workplace, where EVERYBODY has a voice in building OUR company, and where learning and growth is 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.
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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