SuperDial · 4 days ago
Applied AI Engineer
SuperDial is transforming AI in healthcare by building scalable, AI-powered solutions that optimize revenue cycle management. The Applied AI Engineer will design and optimize prompts for large language models, collaborate with teams to create robust solutions, and maintain internal tooling for performance evaluation.
Computer Software
Responsibilities
Design, iterate, and optimize prompts that drive LLM behavior in production settings—spanning classification, summarization, structured extraction, and workflow automation
Collaborate with engineers, product managers, and customers to translate domain problems (e.g. prior auth, claim appeals, denials) into robust LLM-powered solutions
Build and maintain internal tooling for prompt versioning, testing, and performance evaluation (accuracy, latency, cost)
Fine-tune and evaluate models where needed using structured feedback and real-world data
Analyze edge cases and failure modes; design prompt strategies to improve resilience and alignment with business logic
Stay current on the LLM ecosystem and incorporate best practices into our architecture
Qualification
Required
2+ year of experience in a software engineering and LLM-centric role
Deep understanding of prompt design patterns and LLM capabilities/limitations across GPT-4, Claude, Mistral, etc
Hands-on experience with LangChain, LlamaIndex, PromptLayer, or similar frameworks
Strong Python skills and comfort working in a codebase (bonus: experience with backend workflows or vector DBs like Weaviate/Pinecone)
Obsession with quality—you're comfortable writing tests, measuring performance, and debugging model behavior with structured rigor
Preferred
Exposure to healthcare data, terminology (EHRs, RCM, FHIR), or compliance-aware deployments
Benefits
Competitive compensation
Meaningful equity
Healthcare benefits
Company
SuperDial
SuperDial automates high-volume outbound phone calls that healthcare teams make to insurers using advanced voice AI.
Funding
Current Stage
Early StageRecent News
2025-06-26
Seattle TechFlash
2025-06-25
Company data provided by crunchbase