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
We are seeking an AI-focused Backend Engineer with Full-Stack capabilities to design and develop scalable AI-powered enterprise applications. The ideal candidate will have strong expertise in Python-based backend development, Generative AI, Agentic AI frameworks, RAG architectures, API development, cloud-native platforms, and modern frontend technologies such as React. Experience building production-grade AI solutions on OCI, AWS, Azure, or GCP and integrating LLMs into enterprise workflows is highly desirable.

Responsibilities

Build AI agents and copilots using LLMs

• Develop APIs and backend services

  
  
  

• Build simple web applications/UI using React, JavaScript/TypeScript, Modern UI frameworks

  
  
  

• Implement RAG, vector databases, and enterprise security

  
  
  

• Work with structured enterprise data

  
  
  

Built and deployed at least one production AI application

• Developed both frontend and backend components

  
  
  

• Integrated AI with enterprise systems through APIs

  
  
  

• Implemented RAG using enterprise data

  
  
  

• Deployed AI workloads in cloud environments

  
  
  

• Candidates must have independently delivered a production-grade AI application end-to-end, including user interface, backend services, AI orchestration, enterprise integrations, deployment, and operational monitoring

  
  
  

Core AI Engineering Skills

• Generative AI and LLM application development

  
  
  

• Prompt Engineering and AI workflow orchestration

  
  
  

• Agentic AI frameworks and multi-agent systems

  
  
  

• Retrieval-Augmented Generation (RAG)

  
  
  

• Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS)

  
  
  

• AI Model Integration (OpenAI, Anthropic, Gemini, OCI AI Services)

  
  
  

• Fine-tuning and model evaluation

  
  
  

• AI observability, guardrails, and responsible AI practices

  
  
  

Backend Engineering Skills

• Python (mandatory), Java, Node.js, or Go

  
  
  

• RESTful APIs and GraphQL

  
  
  

• Microservices Architecture

  
  
  

• Event-Driven Architecture

  
  
  

• API Gateway implementation

  
  
  

• Authentication and Authorization (OAuth2, JWT, SSO)

  
  
  

• Database Design and Optimization

  
  
  

• Message Queues (Kafka, RabbitMQ)

  
  
  

• High-performance and scalable backend systems

  
  
  

Full-Stack Development Skills

• React, Next.js, Angular, or Vue.js

  
  
  

• TypeScript and JavaScript

  
  
  

• Modern UI/UX development

  
  
  

• State Management (Redux, Zustand)

  
  
  

• Responsive Web Applications

  
  
  

• Frontend integration with AI services and APIs

  
  
  

Cloud & DevOps Skills

• Oracle Cloud Infrastructure (OCI), AWS, Azure, or GCP

  
  
  

• Kubernetes and Docker

  
  
  

• CI/CD pipelines

  
  
  

• Infrastructure as Code (Terraform)

  
  
  

• Monitoring and Observability (Datadog, Grafana, Prometheus)

  
  
  

• Serverless Architecture

  
  
  

Data & Integration Skills

• SQL and NoSQL databases

  
  
  

• Data Pipelines and ETL

  
  
  

• Data Modeling

  
  
  

• Integration Platforms and APIs

  
  
  

• Real-time data processing

  
  
  

• Enterprise application integrations

  
  
  

AI Frameworks & Tools

• LangChain

  
  
  

• LangGraph

  
  
  

• LlamaIndex

  
  
  

• CrewAI

  
  
  

• AutoGen

  
  
  

• Hugging Face

  
  
  

• PyTorch

  
  
  

• TensorFlow

  
  
  

• MLflow

  
  
  

Enterprise Skills

• Solution Architecture

  
  
  

• Security-by-Design

  
  
  

• Performance Optimization

  
  
  

• System Design

  
  
  

• Agile/Scrum methodologies

  
  
  

• Technical leadership and mentoring

  
  
  

Qualifications

• 5+ years experience

  
  
  

• Frontend (20 - 30%) Backend (30 - 40%) AI/LLM layer (30 - 40%) Cloud & Production (10 - 20%) -  AI-focused Backend Engineer with Full-Stack capabilities

  
  
  

• Build AI solutions while integrating with large-scale enterprise ecosystems such as oracle etc

  
  
  

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 Affirmative 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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This posting is a new position within our organization.