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Intern – Generative AI Developer
CotivitiIntern focusing on researching and developing AI and healthcare informatics. Supporting improvements in treatment, payment, and operations while collaborating with various teams.
Tech Stack
Tools & technologiesAWSAzureCloudRealm
About the role
Key responsibilities & impact- The Generative AI Developer Intern focuses on researching and developing advanced healthcare informatics, particularly in the realm of Generative AI and emerging Artificial General Intelligence.
- The intern will assist and take a primary role in developing, researching, creating analytical materials, and collaborating with various teams to drive AI-related projects.
- Gain hands-on experience in generative AI model development, architecture design, and database management.
- Communicates technology-related updates and requirements to other departments and contributes to presentations for senior management.
- Collaborates with research and development teams, product management, and strategic analysts to support ongoing projects.
- Partners with Business Units to provide reliable intelligence, validated technology options, and insights on enterprise and industry trends.
- Supports technology project teams by coordinating specific tasks, assisting with day-to-day operations, and contributing to the successful delivery of solutions.
- Completes all responsibilities and goals outlined in the internship program.
- Completes all special projects and other duties as assigned.
Requirements
What you’ll need- Currently pursuing or recently completed an advanced degree in healthcare, technology, or a related field (e.g., Biomedical Informatics, Computer Science) with preference of 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 working with Machine Learning and Deep Learning models.
- Experience with LLM/RAG models and LLM fine-tuning is a plus.
- Hands-on experience working with cloud services (AWS/Azure), large data sets, and building data pipelines for ML solutions.
- Experience with vector embeddings and databases is a plus.
- Ability to work collaboratively and communicate effectively with cross-functional teams.
Benefits
Comp & perks- No adverse environmental conditions are expected.
- 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.
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
generative AI model developmentarchitecture designdatabase managementmachine learningdeep learningLLM/RAG modelsLLM fine-tuningdata pipelinesvector embeddingsvector databases
Soft Skills
collaborationcommunicationproject coordinationanalytical skillspresentation skills