Applied AI Engineer
SuperDial(30 days ago)
About this role
An Applied AI Engineer at SuperDial will focus on leveraging large language models (LLMs) to enhance healthcare workflows through prompt design, model fine-tuning, and tailored solutions for domain-specific challenges like prior authorization and claim appeals. The role requires collaboration with product and engineering teams to build internal tools for performance evaluation and to analyze edge cases to improve model resilience. Candidates should have experience in software engineering with a strong background in LLM frameworks and Python, preferably with insights into healthcare data and compliance standards.
Required Skills
- Prompt Design
- LLM Optimization
- Collaboration
- Tooling Maintenance
- Model Fine-Tuning
- Edge Case Analysis
- LLM Ecosystem Awareness
- Software Engineering
- Python Skills
- Codebase Experience
+3 more
About SuperDial
www.superdial.aiSuperDial is a leading voice AI platform specifically designed for healthcare revenue cycle management (RCM) teams. It automates critical tasks such as eligibility checks, prior authorizations, claim status inquiries, credentialing, and enrollment, significantly reducing manual efforts and improving efficiency. With a focus on seamless integration into existing EHR and RCM software, SuperDial aims to streamline workflows and improve patient interaction through scalable technology solutions. The company recently raised $15M in Series A funding to enhance its capabilities and expand its reach within the healthcare industry.
Apply instantly with AI
Let ApplyBlast auto-apply to jobs like this for you. Save hours on applications and land your dream job faster.
More jobs at SuperDial
Similar Jobs
AI Engineer
Ruby Labs(28 days ago)
AI Engineer
Ruby Labs(22 days ago)
AI Engineer
Ruby Labs(28 days ago)
Member of Technical Staff - Post Training, Reinforcement Learning
Liquid AI(2 months ago)
Tech Lead, LLM & Generative AI (Full Remote - Gibraltar)
EverAI(2 months ago)
Research Engineer Intern
Hiverge(2 months ago)