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

• Bachelor’s or Master’s 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

Knowledge and Skills

• Golang (5+ years)
• LLMs (hands-on, real production use)
• RAG architectures
• Embeddings & vector search
• Fine-tuning techniques (LoRA, QLoRA, supervised fine-tuning)
• Cloud infrastructure (AWS/GCP/Azure)
• CI/CD + observability + metrics for AI systems
• Advanced English (C1)

Competencies

• Ownership and autonomous execution
• Problem-solving and analytical thinking
• 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 people’s 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 (1–2 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 (1–2 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 company’s legal structure in Mexico is finalized.