AI Developer

ProCorp Systems Inc.
Dallas, United States of America
10 days ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Dallas, United States of America

Tech stack

Java
Agile Methodologies
Artificial Intelligence
Amazon Web Services (AWS)
Azure
Computer Programming
Continuous Integration
Python
Search Technologies
Software Deployment
Google Cloud Platform
Enterprise Software Applications
Retrieval-Augmented Generation
Large Language Models
Generative AI
Backend
Kubernetes
Data Analytics
REST
Docker
Microservices

Job description

We are seeking a highly skilled AI Developer to join our client (Equinix) team in Dallas, TX. This role focuses on building scalable, enterprise-grade AI solutions to enhance digital infrastructure platforms and data-driven services., * Design and develop enterprise-scale AI solutions aligned with Equinix s digital platform ecosystem

  • Build and optimize RAG-based architectures for knowledge retrieval and automation
  • Integrate LLMs into existing backend systems and microservices
  • Develop scalable APIs and services to support AI-driven capabilities
  • Ensure performance, reliability, and security of AI applications
  • Collaborate with platform engineering, data, and product teams in an Agile environment
  • Drive innovation by evaluating and implementing emerging AI technologies

Requirements

  • Strong programming experience in Java (preferred) and/or Python
  • Hands-on experience with LLMs and Generative AI solutions
  • Proven experience implementing RAG (Retrieval-Augmented Generation) architectures
  • Experience with LangChain, LlamaIndex, or similar frameworks
  • Strong understanding of NLP and semantic search techniques
  • Experience integrating LLM APIs (OpenAI, Azure OpenAI, etc.) in enterprise systems
  • Solid experience in microservices architecture and REST APIs
  • Exposure to cloud platforms (AWS/Azure/Google Cloud Platform) with production deployments
  • Experience with vector databases (Pinecone, FAISS, Weaviate, etc.)
  • Familiarity with Docker, Kubernetes, CI/CD pipelines

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