Architecture AI Co-op

Position: Architecture AI Co-op
Number of Positions: 1 
Duration: 4 months, September – December  
Location: Remote or Hybrid – Naperville, IL

Educational Recommendations:
Currently pursuing bachelor's degree in computer science or related field with an accredited school in USA.

How You Will Contribute and What You Will Learn

• Build and extend agentic AI pipelines using Google ADK, LangChain, and LlamaIndex — including multi-tool agents that reason over internal system specifications.
• Develop ETL pipelines that extract, parse, and index internal documents (requirements, user scenarios) from internal database into OpenSearch  vector stores.
• Implement RAG (Retrieval-Augmented Generation) systems using OpenSearch vector search and Vertex AI Search to power semantic search over telecommunications documentation.
• Contribute to FastAPI backend services and Next.js/React frontend components for AI-powered tools used by 5G architects and engineers.
• Work with LLMs on Google Cloud Vertex AI (Gemini models) for structured output generation, Cypher query generation, and document summarization.
• Participate in Agile sprints with code reviews, documentation, and CI/CD via GitLab pipelines.

 Qualifications

• Legal authorization to work in the United States without sponsorship.
• Proficiency in Python and TypeScript/React.
• Exposure to Artificial Intelligence, NLP, or LLM-based applications.
• Experience with Linux, Git/GitLab, and command-line development.
• Understanding algorithms, data structures, and REST APIs.
• Experience with AI coding assistants (GitHub Copilot, Cursor, Claude, etc.).
• Strong communication and problem-solving skills.
• Experience with Visual Studio Code. 

• Google Cloud Platform experience.

   

   

It Would Be Nice If You Also Had

• Docker and cloud deployment .
• Knowledge of SQL and databases.
• Familiarity with Agile development.
• LangChain/LlamaIndex for LLM applications.