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’re looking for an experienced engineer with strong Python expertise who’s excited to apply their skills to the new frontier of Generative AI and agentic systems. You’ll 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.

In this role, you’ll collaborate with ML engineers, data specialists, and product teams to bring AI capabilities into production—bridging the gap between intelligent models and reliable software systems.



If you thrive on designing robust, cloud-native systems and are passionate about applying your backend engineering expertise to complex, probabilistic AI workflows, this is your opportunity to help define the next generation of enterprise AI.

Functional Responsibilities
- Architect, design, and implement backend systems and APIs integrating GenAI technologies.
- Implement agentic architectures for complex AI workflows.
- Build, deploy, and manage cloud-native AI applications on AWS (Lambda, ECS, SageMaker) and other modern infrastructure.
- Fine-tune prompts, context windows, and RAG pipelines to optimize performance.
- Implement AI security guardrails and conduct risk assessments to ensure compliance, privacy, and safety.
- Monitor application health with observability tools (APM, logging, LLM performance metrics) and proactively resolve performance issues.
- Work closely with ML Engineers to consume and integrate t

📌 Senior Software Engineer (Ciudad de México)
🏢 Factored
📍 Ciudad de México