Software Engineer (GenAI/ML)

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 exceptional technical aptitude, intelligence, communication skills, and passion are equally distributed worldwide. We are very committed to testing, vetting, and nurturing the most talented engineers for our program and on behalf of our clients. 

We seek an ambitious and self-motivated Software Engineer interested in joining one of our exciting projects related to a generative AI platform. You will be working in an ML-intensive environment to craft intricate AI tasks; the platform enables enterprises across diverse companies to harness the potential of generative AI effortlessly, all while maintaining stringent security measures and retaining control.

You will be interacting with a multicultural team of high-caliber engineers and across different software-related disciplines such as, Data Engineering, Machine Learning and Data Science. 

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 North, Central, or South America. #LI-Remote

• Architect, design, and implement Web APIs and scalable AI applications using Python, ensuring high performance, scalability, and security.
• Develop, deploy, and manage Python applications on cloud platforms (Azure, GCP, AWS), leveraging services like Azure Functions, App Service, and distributed computing.
• Design and develop Generative AI solutions utilizing Large Language Models (LLMs), retrieval-augmented generation (RAG), and prompt engineering techniques.
• Collaborate with cross-functional teams to integrate AI technologies, ensuring personalized and impactful user experiences.
• Lead the full SDLC for AI and Python projects, including architecture design, coding, testing, documentation, and version control.
• Conducted code reviews, ensured adherence to coding standards, and mentored junior developers.
• Maintain and document development processes, ensuring best practices are followed.
• Identify and fix bottlenecks, bugs, and performance issues in applications.
• Stay updated on the latest trends and advancements in AI, Python development, and generative AI.
• Engage with AI communities and contribute to ongoing AI initiatives within the company.
• Drive the development and implementation of AI solutions tailored to industry-specific needs, such as telematic applications.
• Evaluate new tools and technologies to improve development processes and workflows.
• Take ownership of key development projects, aligning software with business goals and timelines.

• 5 - 8 years of required previous experience in Software development with a focus on AI/ML.
• Excellent communication English skills (verbal and written) (B2 - C1)

• Experience with Deep Learning, particularly with model training, and familiarity with frameworks like HuggingFace or Pytorch.

• Proven experience in Python programming and web API development.
• Strong expertise in developing scalable, efficient applications, particularly in AI and generative AI.
• Proficiency in cloud platforms (Azure, GCP, AWS) and containerization technologies (Docker, Kubernetes).
• Experience with AI frameworks like LangChain, LlamaIndex, and GenAI technologies.
• Hands-on experience with server-side frameworks like FastAPI, including API development, documentation, and versioning.
• Strong understanding of large language models (LLMs) and deployment techniques.
• Knowledge of CI/CD tools like GitLab CI for automation in testing, building, and deploying code.
• Strong problem-solving and creative thinking skills with attention to detail.
• Excellent communication and collaboration skills in team environments.
• Experience with AI/ML project lifecycles, from design to deployment.
• Familiarity with open-source projects and a passion for staying updated on industry advancements in AI and machine learning.

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 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. 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.