Software Engineer (GenAI/ML)

Factored; Ciudad de México; Presencial; MXN 1,465,000 - 2,199,000; Jornada completa

Descripción de la vacante

A technology company in Mexico City is seeking an experienced Software Engineer with strong Python skills to work in Generative AI. The role involves architecting cloud-native AI applications and integrating ML technologies into systems. Ideal candidates will have 5+ years of software experience, knowledge of AWS, and excellent problem-solving abilities. The company promotes transparency and is dedicated to the professional growth of its team.

Servicios

Career development opportunities

Collaborative work environment

Flexible work culture

Formación

• 5+ years of professional experience in Software Engineering with a strong foundation in Python.
• Experience with Generative AI frameworks such as LangGraph, LangChain, OpenAI.
• Hands-on experience with cloud platforms like AWS.
• Experience in designing and developing APIs using FastAPI, Django, or Flask.
• Strong system design and problem-solving skills.
• Practical experience with databases (PostgreSQL or NoSQL).
• Proficiency with DevOps and CI/CD tools such as Docker and Kubernetes.
• Understanding of deep learning model development and deployment.
• Excellent English communication skills.
• A growth mindset and interest in new AI/ML techniques.

Responsabilidades

• Architect and design backend systems and APIs integrating Generative AI technologies.
• Implement agentic architectures for complex AI workflows.
• Build and manage cloud-native AI applications on AWS.
• Fine-tune prompts and optimize performance.
• Implement AI security guardrails and conduct risk assessments.
• Monitor application health with observability tools.
• Work closely with ML Engineers to integrate trained models.
• Maintain high engineering standards including modular code and automations.
• Collaborate with teams to deliver user-facing AI features.

Conocimientos

Python expertise

Generative AI frameworks

Cloud platforms (AWS)

API design/development

System design

Problem-solving skills

Database management

DevOps tools

Deep learning frameworks

English communication

Herramientas

AWS (Lambda, ECS, SageMaker)

FastAPI

Django

Flask

PostgreSQL

NoSQL

Docker

Kubernetes

Terraform

Git

Descripción del empleo

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 trained models into production systems.
• Maintain high engineering standards: modular code, automated testing, CI/CD pipelines, and documentation.
• Partner with product managers, designers, and cross-functional teams to deliver user-facing AI features that drive measurable value.

Qualifications

• 5+ years of professional experience as a Software Engineer or in a related role, with a strong foundation in Python.
• Hands-on experience or strong interest in Generative AI frameworks such as LangGraph, LangChain, OpenAI, and RAG implementations.
• Experience with cloud platforms like AWS, including building, deploying, and managing cloud-native applications; exposure to Azure or GCP is also valuable.
• Experience designing and developing APIs using frameworks like FastAPI, Django, or Flask; willingness to learn best practices for scalable production systems is appreciated.
• Strong system design and problem-solving skills, including building, testing, and optimizing backend systems or AI workflows.
• Practical experience with databases (PostgreSQL or NoSQL), and vector databases for RAG workflows.
• Proficiency with DevOps and CI/CD tools such as Docker, Kubernetes, Terraform, and Git-based workflows.
• Understanding of deep learning model development and deployment, with familiarity using frameworks like PyTorch or HuggingFace; motivated learners are welcome.
• Excellent English communication skills, both written and spoken, with the ability to collaborate effectively with global teams and explain complex AI concepts clearly.
• A growth mindset and genuine interest in learning and applying new AI/ML techniques to real-world challenges.

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.