Intern AI Engineer, Early-Career – LLM Context, Data Layer

🔥 13 hours ago

🇺🇸 United States – Remote

💵 $32 - $40 / hour

⏰ Full Time

⚪️ Entry-level

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Cotiviti

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

Cotiviti is a healthcare technology and analytics company that specializes in improving payment accuracy and performance through advanced data analytics solutions. They partner with health plans, government agencies, and healthcare providers to deliver insights that enhance quality and efficiency in care delivery. With solutions such as risk adjustment, payment policy management, and member engagement, Cotiviti aims to optimize financial and clinical outcomes for the healthcare ecosystem.

📋 Description

• Design, build, and deploy AI-powered applications leveraging large language models and enterprise data systems • Develop practical AI solutions that improve healthcare treatment, payment, and operations • Build architecture for AI agents, including context layers, data retrieval systems, and governance guardrails • Collaborate with Data Scientists, Data Engineers, business stakeholders, research and development teams, product management, and strategic analysts • Communicate technology-related updates and requirements to other departments and contribute to senior-management presentations • Provide business units with reliable intelligence, validated technology options, and insights on enterprise and industry trends • Coordinate specific tasks, assist with day-to-day operations, and contribute to technology solution delivery • Support academic research teams, practicums, internships, and vendor proofs of concept • Support vendor evaluations and vendor collaborations • Liaise with academic institutions, professional organizations, and research groups • Support Academic Corporate Engagement efforts to develop research and educational talent in health technology • Complete internship-program responsibilities, special projects, and other assigned duties

🎯 Requirements

• Currently pursuing or recently completed an advanced degree in healthcare, technology, or a related field (e.g., Biomedical Informatics, Computer Science), with a preference for a PhD • Demonstrated interest or experience in AI, healthcare technology, or informatics research • Strong foundational knowledge in generative AI model development, architectures, and vector databases • Hands-on experience with Machine Learning and Deep Learning models • Hands-on experience with cloud services (AWS/Azure), large data sets, and building data pipelines for ML solutions • SQL fundamentals; comfortable writing queries against structured data • Exposure to LLM APIs (e.g., OpenAI, Azure OpenAI, Anthropic) and familiarity with one orchestration framework (LangChain, LlamaIndex, or similar) • Git basics; comfortable with branching and reviewing code as part of a team workflow • Experience building or designing semantic layers, knowledge graphs, or context retrieval systems (RAG pipelines) • Understanding of embedding models, chunking strategies, and retrieval optimization • Ability to reason about data quality, duplication, and freshness • Experience fetching and ingesting data from live external sources, including APIs and web sources, into structured pipelines • Comfortable designing schemas and storage layers, including vector storage or semantic indexing patterns • Ability to build and test AI components such as embeddings, retrieval logic, and prompts • Ability to work collaboratively and communicate effectively with cross-functional teams • Must be able to provide a dedicated, secure work area • Must be able to provide high-speed internet access/connectivity and office setup and maintenance • Must be able to perform duties with or without reasonable accommodation • Must be available to start immediately, work a 12-week internship, and work 40 hours per week

🏖️ Benefits

• Nonexempt employees are eligible to receive overtime pay for hours worked in excess of 40 hours in a given week, or as otherwise required by applicable state law • 12-week internship • Ability to work with or without reasonable accommodation • Dedicated, secure work area • High-speed internet access/connectivity and office setup and maintenance