Software Engineer (GenAI/ML)

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 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.

Functional Responsibilities:

• 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 (AWS, Azure, GCP), 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.
• Conduct code reviews, ensure adherence to coding standards, and mentor 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.
• Evaluate new tools and technologies to improve development processes and workflows.
• Take ownership of key development projects, aligning software with business goals and timelines.

Qualifications:

• 5+ years of experience in software development, specializing in AI/ML and Generative AI.
• Expertise in Python programming, web API development, and building scalable AI applications.
• Strong understanding of Deep Learning frameworks like HuggingFace, PyTorch, or TensorFlow, with hands-on experience in model training and fine-tuning.
• Solid experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes).
• Hands-on experience with AI frameworks like LangChain, LangGraph, and GenAI technologies, and a deep understanding of large language models (LLMs), RAG architectures, and deployment strategies.
• Proficiency in server-side frameworks like FastAPI, including API development, documentation, and versioning.
• Familiarity with CI/CD tools (e.g., GitLab CI) for automating testing, building, and deploying applications.
• Strong problem-solving and creative thinking skills, with attention to detail in resolving complex technical challenges.
• Excellent communication and collaboration skills in cross-functional teams.
• Experience managing AI/ML projects through the full lifecycle, from design to deployment.
• Passion for contributing to open-source projects and staying updated on the latest AI and machine learning advancements.
• Excellent English communication skills, both written and spoken.

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.