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Gogo Summer 2026 Graduate Intern –AI Engineer at Gogo · Broomfield
Skills
Job Description
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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
Equal Pay Disclosure(s)
Base Pay:
21.20 - 26.50 USD HourlyTarget Annual Short-Term Incentive:
Not EligibleEligible for Incentive Stock Program:
NoBenefits:
Satcom Direct offers competitive benefits including medical, dental and vision coverage with plans that can fit each employee’s needs. We offer an immediate vesting 401k plan, paid time off and volunteer time off. Employees have the option to participate in an Employee Stock Purchase Plan. Visit the Careers page on our website for more information at www.satcomdirect.com/careers.
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Satcom Direct is an Equal Opportunity and Affirmative Action employer, working in compliance with both federal and state laws. We are committed to the concept of Equal Employment opportunity.
Qualified candidates will be considered for employment regardless of race, color, religion, age, sex, national origin, marital status, medical condition, or disability.
Equal Employment Opportunity Statement
Equal Employment Opportunity - Executive Order 11246 Revision