Job Application for Software Engineer (GenAI/ML) at Factored

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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 with strong Python expertise and hands-on experience in Generative AI. You will join an ML-intensive environment to build and optimize scalable AI applications, enhance security guardrails, and design cloud-native architectures that power enterprise-grade AI solutions. This role offers the opportunity to collaborate with a multicultural team of high-caliber engineers across Software, Data, and ML disciplines while contributing to high-impact projects that help enterprises harness Generative AI safely and effectively.

Functional Responsibilities:

Architect, design, and implement backend systems and APIs integrating GenAI technologies, including LangChain, LangGraph, and ChatGPT.
Migrate from LangChain Agents to LangGraph Agents and implement agent-based architectures for advanced AI solutions.
Build, deploy, and manage cloud-native applications on AWS, leveraging services such as Lambda, ECS, or SageMaker.
Fine-tune and optimize LLMs (e.g., GPT-4, Llama, Mistral) and retrieval-augmented generation (RAG) architectures for production-ready systems.
Enhance AI security frameworks, including implementing guardrails and conducting risk assessments to ensure compliance and safety.
Collaborate closely with ML, data, and software teams to deliver scalable, secure, and high-performance AI applications.
Monitor, debug, and optimize applications to ensure performance and reliability.
Stay current with the latest advancements in LLMs, RAG techniques, and cloud infrastructure to inform architectural and design decisions.

Qualifications:

5+ years of Python development with a focus on ML, AI, or data-driven applications.
Proven expertise with Generative AI frameworks and APIs such as LangChain, LangGraph, ChatGPT, and RAG implementations.
3+ years of experience with AWS or other major cloud platforms.
Strong understanding of backend development using frameworks like FastAPI, Django, or Flask.
Experience with authentication and API security (OAuth, JWT).
Hands-on experience with databases (PostgreSQL, NoSQL) and vector databases for RAG workflows.
Proficiency in deep learning frameworks such as PyTorch, HuggingFace, Keras, or FastAI.
Knowledge of DevOps and CI/CD practices, including Docker, Kubernetes, Terraform, and Git-based workflows.
Excellent written and spoken English communication skills and the ability to collaborate effectively across teams.
Passion for exploring new AI/ML techniques and applying them to real-world, high-impact applications.

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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Software Engineer (GenAI/ML)

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