Cotiviti→
Temporary Intern - Agentic AI & Neural-Symbolic… at Cotiviti · Remote
InternshipRemoteRemote$42k–$52k/yr
Skills
pythonprogramming languageslarge language models (llms)generative aineural-symbolic aiknowledge graphssymbolic reasoningauditabilityexplainabilityhealthcare domain knowledgecuriosity
Job Description
Summary: Cotiviti is seeking two highly motivated undergraduate interns to join their team working on next-generation Agentic AI platforms and neural-symbolic systems in the healthcare domain. The interns will work on real systems that support complex use cases, collaborating closely with engineers and data scientists to shape AI deployment in production environments.
Responsibilities:
- 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
- Prototype new capabilities for real-world workflows
- 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
Required Qualifications:
- 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
- Communicating with others to exchange information
- Problem-solving and thinking critically
- Completing tasks independently
- Interpreting data
- Making timely decisions in the context of a workflow
- Maintaining focus
- Assessing the accuracy, neatness and thoroughness of the work assigned
- Learning new tasks and completing tasks in situations that have a speed or productivity quota
- Remembering and adhering to processes and protocols
- Remaining in a stationary position, often standing or sitting for prolonged periods
- Communicating with others to exchange information
- Repeating motions that may include the wrists, hands, and/or fingers
- Assessing the accuracy, neatness and thoroughness of the work assigned
- Must be able to provide high-speed internet access/connectivity and office setup and maintenance
- Must be able to provide a dedicated, secure work area
Required Skills: Python, Programming languages, Large Language Models (LLMs), Generative AI, Neural-symbolic AI, Knowledge graphs, Symbolic reasoning, Auditability, Explainability, Healthcare domain knowledge, Curiosity