Santex is a global technology company founded in 1999 in California with 25 years of experience building enterprise-scale digital solutions. With a remote-first culture and a distributed team across 18 countries Santex operates through specialized hubs in AI Data Cloud Web & Mobile eCommerce and Integrations.
The company combines technological excellence with social economic and environmental impact. Its culture is rooted in trust collaboration diversity and continuous learning.
Purpose of the Position
Will be responsible for designing building and deploying production-ready AI solutions including intelligent agents RAG pipelines fine-tuned LLMs and high-performance inference systems. This role will have a direct impact on the development and evolution of large-scale enterprise products ensuring technical excellence scalability and long-term architectural integrity across AI-driven features.
Key Responsibilities
Design build and deploy production-ready AI services and intelligent agents.
Implement RAG pipelines fine-tuned LLMs embedding workflows and inference systems.
Develop features such as recommendation engines prediction models analytics chatbots and smart document/receipt automation.
Architect and maintain scalable AI-driven systems ensuring performance reliability and long-term maintainability.
Ensure observability testability monitoring explainability and metric tracking across all AI components.
Collaborate with backend data product and infrastructure teams in a fast-paced and multicultural environment.
Lead end-to-end implementation of AI features from experimentation to deployment and continuous improvement.
Apply best practices for code quality security versioning and CI/CD within AI and backend workflows.
Evaluate and optimize models using A/B testing performance benchmarking and iterative refinement.
Requirements and competences to work with us
Education
Bachelors or Masters degree in Computer Science Software Engineering Artificial Intelligence Machine Learning Applied Mathematics or related fields.
Optional: Certifications in Cloud Deep Learning or MLOps.
Experience
10 years in software engineering.
5 years building backend systems in Golang.
Proven experience building production AI/ML solutions (not prototypes or research only).
Hands-on expertise with LLMs RAG embeddings fine-tuning and inference pipelines.
Experience working in global teams is a strong advantage
Adaptability to fast-changing and ambiguous environments
Team collaboration and strong communication
Our team profile
- Technical excellence and accountability
- Trust transparency and collaboration
- Global mindset and cross-cultural adaptability
Key interests for working with us
Motivated by technology innovation and automation as engines for meaningful progress.
Enjoy solving complex high-impact problems through applied AI and intelligent systems.
Driven to build scalable reliable and production-ready AI solutions.
Believe in the power of technology to address real-world challenges and improve peoples lives.
Committed to creating responsible ethical and scalable solutions that contribute positively to society and the planet.
Thrive in multicultural distributed and remote-first work environments.
Value continuous learning experimentation and purposeful impact in their professional growth.
Reasons to join our team
High autonomy and influence in shaping technical decisions architecture and long-term AI strategy.
A remote-first culture with minimal in-office presence (12 times per month) enabling flexibility and deep-focus work.
Career growth opportunities as the AI team expands with the chance to take on greater responsibility and contribute to foundational technical decisions.
The opportunity to work on cutting-edge AI challenges with a global multicultural engineering team.
A culture grounded in trust collaboration and continuous learning where innovation and impact are core values
Relevant details before applying for this vacancy
Advanced English is mandatory for technical discussions documentation and cross-regional collaboration.
Candidates must be based in Mexico City or nearby areas as occasional in-office presence (12 times per month) is required.
The initial hiring model is full-time contractor with the possibility of transitioning to a permanent employment arrangement once the companys legal structure in Mexico is finalized.
Selection process developed by matteriaCiudad de México México Who we areSantex is a global technology company founded in 1999 in California with 25 years of experience building enterprise-scale digital solutions. With a remote-first culture and a distributed team across 18 countries Santex operates...
Selection process developed by matteria
Ciudad de México México
Who we are
Santex is a global technology company founded in 1999 in California with 25 years of experience building enterprise-scale digital solutions. With a remote-first culture and a distributed team across 18 countries Santex operates through specialized hubs in AI Data Cloud Web & Mobile eCommerce and Integrations.
The company combines technological excellence with social economic and environmental impact. Its culture is rooted in trust collaboration diversity and continuous learning.
Purpose of the Position
Will be responsible for designing building and deploying production-ready AI solutions including intelligent agents RAG pipelines fine-tuned LLMs and high-performance inference systems. This role will have a direct impact on the development and evolution of large-scale enterprise products ensuring technical excellence scalability and long-term architectural integrity across AI-driven features.
Key Responsibilities
Design build and deploy production-ready AI services and intelligent agents.
Implement RAG pipelines fine-tuned LLMs embedding workflows and inference systems.
Develop features such as recommendation engines prediction models analytics chatbots and smart document/receipt automation.
Architect and maintain scalable AI-driven systems ensuring performance reliability and long-term maintainability.
Ensure observability testability monitoring explainability and metric tracking across all AI components.
Collaborate with backend data product and infrastructure teams in a fast-paced and multicultural environment.
Lead end-to-end implementation of AI features from experimentation to deployment and continuous improvement.
Apply best practices for code quality security versioning and CI/CD within AI and backend workflows.
Evaluate and optimize models using A/B testing performance benchmarking and iterative refinement.
Requirements and competences to work with us
Education
Bachelors or Masters degree in Computer Science Software Engineering Artificial Intelligence Machine Learning Applied Mathematics or related fields.
Optional: Certifications in Cloud Deep Learning or MLOps.
Experience
10 years in software engineering.
5 years building backend systems in Golang.
Proven experience building production AI/ML solutions (not prototypes or research only).
Hands-on expertise with LLMs RAG embeddings fine-tuning and inference pipelines.
Experience working in global teams is a strong advantage
Adaptability to fast-changing and ambiguous environments
Team collaboration and strong communication
Our team profile
- Technical excellence and accountability
- Trust transparency and collaboration
- Global mindset and cross-cultural adaptability
Key interests for working with us
Motivated by technology innovation and automation as engines for meaningful progress.
Enjoy solving complex high-impact problems through applied AI and intelligent systems.
Driven to build scalable reliable and production-ready AI solutions.
Believe in the power of technology to address real-world challenges and improve peoples lives.
Committed to creating responsible ethical and scalable solutions that contribute positively to society and the planet.
Thrive in multicultural distributed and remote-first work environments.
Value continuous learning experimentation and purposeful impact in their professional growth.
Reasons to join our team
High autonomy and influence in shaping technical decisions architecture and long-term AI strategy.
A remote-first culture with minimal in-office presence (12 times per month) enabling flexibility and deep-focus work.
Career growth opportunities as the AI team expands with the chance to take on greater responsibility and contribute to foundational technical decisions.
The opportunity to work on cutting-edge AI challenges with a global multicultural engineering team.
A culture grounded in trust collaboration and continuous learning where innovation and impact are core values
Relevant details before applying for this vacancy
Advanced English is mandatory for technical discussions documentation and cross-regional collaboration.
Candidates must be based in Mexico City or nearby areas as occasional in-office presence (12 times per month) is required.
The initial hiring model is full-time contractor with the possibility of transitioning to a permanent employment arrangement once the companys legal structure in Mexico is finalized.