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Cotiviti

Temporary Intern – Agentic AI, Neural-Symbolic Systems (Healthcare)

Cotiviti

Internship focusing on Agentic AI and neural-symbolic systems in healthcare domain. Collaborate with engineers and data scientists to deploy AI in production environments.

Posted 5/2/2026internshipRemote • 🇺🇸 United StatesEntry Level💰 $20 - $25 per hourWebsite

Tech Stack

Tools & technologies
Python

About the role

Key responsibilities & impact
  • Design and run evaluations for LLM-based agents (quality, reliability, safety)
  • Analyze agent behavior and identify failure modes
  • Propose improvements based on empirical results
  • Build and enhance components such as tools, skills, memory systems, and MCP integrations
  • Improve orchestration, observability, and developer experience
  • Explore approaches combining LLMs with rules, knowledge graphs, or symbolic reasoning
  • Work on use cases requiring auditability and explainability (e.g., claims, policy logic)
  • Help bridge probabilistic AI with deterministic systems
  • Partner closely with internal stakeholders or pilot users
  • Rapidly prototype and iterate on solutions in real-world contexts
  • Help define patterns for scaling adoption of agentic systems

Requirements

What you’ll need
  • Currently pursuing a Bachelor’s degree (Freshman–Senior) in related field
  • Hands-on experience with Python or similar programming languages
  • Familiarity with LLMs / GenAI (e.g., building projects with OpenAI, Claude, Gemini, or open-source models)
  • Strong curiosity and willingness to learn quickly in ambiguous environments
  • Ability to break down problems and iterate through experimentation

Benefits

Comp & perks
  • High-speed internet access/connectivity and office setup and maintenance
  • Dedicated, secure work area

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
PythonLLMsGenAIMCP integrationsknowledge graphssymbolic reasoningprobabilistic AIdeterministic systemsprototypingexperimentation
Soft Skills
curiositywillingness to learnproblem-solvingiterationadaptabilitycollaborationcommunicationanalytical thinkingcreativitycritical thinking