Gogo Summer 2026 Graduate Intern –AI Engineer

The Gogo Summer 2026 Graduate Intern –AI Engineer will support the design and implementation of AI-powered solutions focused on document intake and intelligent agent development. This role will work closely with AI engineers, software engineers, and product stakeholders to build and refine prompts, retrieval pipelines, and document Q&A/assistant workflows. The intern will contribute significantly to the improvement of how information is ingested, organized, and surfaced through large language models.

COME ON BOARD THE GOGO SAAS TEAM!

How will you make a difference?

Build and maintain document ingestion scripts and pipelines for PDFs, emails, and reports.

• Design and refine metadata schemas and taxonomies to improve document organization and retrieval.
• Clean, normalize, and structure unstructured text to support downstream LLM use cases.
• Contribute to the development and improvement of retrieval-augmented generation (RAG) systems.
• Evaluate retrieval quality (e.g., coverage, recall/precision) and propose improvements.
• Apply security and privacy awareness when handling documents, including PII/redaction workflows.
• Help design and refine LLM-powered agents such as document Q&A assistants, research/summary agents, and workflow assistants that call tools/APIs.
• Configure system prompts, instructions, and behavior guidelines for agents.
• Implement and maintain simple workflows that connect agents to existing tools and APIs.
• Log, investigate, and analyze agent errors or hallucinations, and suggest prompt or configuration changes.
• Design and test prompts for document understanding, summarization, and Q&A use cases.
• Create and maintain evaluation datasets and test cases for prompts and agents.
• Run prompt and agent experiments (including simple A/B tests) and quantify improvements using basic metrics.
• Document findings and best practices for prompt patterns, guardrails, and failure modes.

Qualifications

• Currently pursuing a Master’s Degree in Artificial Intelligence, Computer Science, Data Science, Mathematics/Statistics, Cognitive Science, Information Science, or a related technical field
• You must be enrolled in an accredited school
• This is a paid summer internship that requires an average availability of 30-40 hour per week from May-August

Preferred Skills, Talents & Experience

• Familiarity with Python for scripting, data processing, and prototyping
• Basic understanding of how large language models (LLMs) work, including their strengths, limitations, and common failure modes
• Exposure to working with unstructured text data such as PDFs, emails, or reports
• Familiarity with concepts related to retrieval-augmented generation (RAG), document chunking, and embeddings
• Understanding of basic data quality, security, and privacy considerations when handling internal or sensitive documents
• Clear written communication skills, especially for documenting experiments and summarizing findings
• Demonstrated curiosity, willingness to learn new tools quickly, and comfort working in an iterative, experiment-driven environment