Senior Associate Software Engineer

Equinix; León; Presencial; MXN 441,000 - 707,000; Jornada completa

Descripción de la vacante

A global digital infrastructure firm based in León, Mexico, seeks an AI Developer to design intelligent solutions focusing on Retrieval-Augmented Generation (RAG) and AI Agents. The role involves creating context-aware systems, optimizing pipelines, and integrating AI features within enterprise applications. Candidates should have strong Python skills, experience with LLM frameworks, and a Bachelor's degree in Computer Science. This position offers a dynamic work environment fostering innovation and collaboration.

Formación

• 2+ years of AI/ML experience in a relevant field.
• Strong background in developing context-aware systems.
• Knowledge of multi-agent orchestration practices.

Responsabilidades

• Build and optimize RAG pipelines for accurate responses.
• Design and implement AI Agents for task orchestration.
• Develop APIs to expose AI features and ensure scalability.

Conocimientos

Python skills

Experience in LLM frameworks

Hands-on experience with RAG

Knowledge of SQL/NoSQL databases

Familiarity with cloud AI services

Educación

Bachelor’s degree in Computer Science or related field

Herramientas

LangChain

Hugging Face

PostgreSQL

MongoDB

Oracle Integration Cloud

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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