We’re looking for an Applied AI Engineer to help us unlock the full potential of large language models in real-world healthcare workflows. If you love experimenting with LLMs, working closely with product and engineering teams, and obsessing over real user outcomes—this role is for you.
About the Role:
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.
About You:
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.
Bonus: Exposure to healthcare data, terminology (EHRs, RCM, FHIR), or compliance-aware deployments.
What’s in it for you?
Build AI that has real impact - help reduce burnout and drive efficiency in healthcare systems that affect millions.
Work with a small, high-velocity team obsessed with shipping.
Shape the future of our AI stack from the ground up.
Competitive compensation + meaningful equity + healthcare benefits.
Who we are:
SuperDial is transforming AI in healthcare by building scalable, AI-powered solutions that optimize revenue cycle management. Join us and help shape the future of AI in healthcare!
The base salary for this role ranges from $120,000 to $185,000, depending on experience, skill set, and fit. We also offer equity and benefits as part of our total compensation package. Final offers may vary based on experience and qualifications - we’re always open to exceptional talent.
Top Skills
SuperDial San Francisco, California, USA Office
San Francisco, CA, United States
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