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Staff Software Engineer

Equinix

León

Presencial

MXN 794,000 - 1,148,000

Jornada completa

Hace 10 días

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Descripción de la vacante

A leading digital infrastructure company is seeking an AI Developer in León, Mexico. The role involves designing and implementing intelligent solutions focused on Retrieval-Augmented Generation (RAG) and AI Agents. Candidates should have strong Python skills and experience in LLM frameworks. Key responsibilities include building APIs and integrating AI services into enterprise systems. Strong candidates will have experience with vector databases and cloud AI services. This position offers opportunities in a dynamic work environment.

Formación

  • Bachelor's degree in a relevant field.
  • Strong Python skills with LLM frameworks experience.
  • Hands-on experience with RAG and vector databases.
  • Knowledge of AI Agent orchestration tools.

Responsabilidades

  • Build and optimize RAG pipelines for data responses.
  • Design AI Agents to orchestrate tasks and integrate services.
  • Develop APIs for AI features with scalability.

Conocimientos

Python
LLM frameworks
RAG pipelines
Vector databases

Educación

Bachelor’s degree in Computer Science or related field

Herramientas

Oracle Integration Cloud
LangChain
Hugging Face
AWS
Azure
GCP
PostgreSQL
MongoDB
Descripción del empleo
Who are we?

Equinix is the world’s digital infrastructure company®, shortening the path to connectivity to enable the innovations that enrich our work, life and planet.

A place where bold ideas are welcomed, human connection is valued, and everyone has the opportunity to shape their future.

Help us challenge assumptions, uncover bias, and remove barriers—because progress starts with fresh ideas. You’ll find belonging, purpose, and a team that welcomes you—because when you feel valued, you’re empowered to do your best work.

Job Summary

The AI Developer will design and implement intelligent solutions with a focus on Retrieval-Augmented Generation (RAG) and AI Agents. This role involves building context-aware systems powered by large language models (LLMs), integrating them into enterprise applications and enabling automation through multi-step agent workflows. Exposure to or interest in Oracle Integration Cloud (OIC) is a plus, helping extend AI capabilities across enterprise platforms.

Responsibilities
  • Build and optimize RAG pipelines to deliver accurate, context-aware responses from enterprise data
  • Design and implement AI Agents capable of orchestrating tasks and integrating with APIs and services
  • Develop APIs to expose AI features, ensuring scalability and reliability
  • Work with vector databases (ex. Pinecone) for embedding and retrieval
  • Integrate AI services with enterprise systems, leveraging OIC where applicable
  • Follow best practices in MLOps, CI/CD, and cloud deployment
Qualifications
  • Bachelor’s degree in Computer Science, Information Technology, or related field
  • Strong Python skills with experience in LLM frameworks (LangChain, Hugging Face)
  • Hands-on experience with RAG and vector databases
  • Knowledge of AI Agent orchestration tools (LangChain, LangGraph or similar)
  • Familiarity with cloud AI services (like AWS, Azure, GCP)
  • Solid understanding of SQL/NoSQL databases (PostgreSQL, MongoDB)
  • Interest in or exposure to Oracle Integration Cloud (OIC)
  • Must-Haves: Python/nodeJS, RAG pipelines, LLM frameworks, vector DBs, 2+ years of AI/ML experience
  • Nice-to-Haves: Multi-agent orchestration, MLOps practices, OIC knowledge/interest

Equinix is committed to ensuring that our employment process is open to all individuals, including those with a disability. If you are a qualified candidate and need assistance or an accommodation, please let us know by completing this form.

Equinix is an Equal Employment Opportunity and, in the U.S., an Affimative Action employer. All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law.

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