Startups · AI

Staff Software Engineer, Applied AI

SuperDial · Burlingame, CA · On-site

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About SuperDial

Superdial automates high-volume outbound phone calls that healthcare teams make to insurers using advanced voice AI. Backed by Greycroft.

About the role

Backend for LLMs – Architect and implement scalable, low-latency APIs and services that wrap, orchestrate, and optimize LLMs for healthcare use cases. Data & Retrieval Pipelines – Build ingestion, preprocessing, and retrieval-augmented generation (RAG) pipelines to ground LLMs in clinical and revenue-cycle data. Found on 1752vc Careers, the job board for startup and VC roles.

What they're looking for

  • Experience applying LLMs in healthcare or other regulated industries (FHIR, HL7, HIPAA)
  • Hands-on experience with RAG pipelines, vector databases, and structured-output orchestration
  • Background in enterprise SaaS or mission-critical platforms where uptime, latency, and scale matter
  • Knowledge of responsible AI, safety, and privacy-preserving ML techniques
More about this role

SuperDial is seeking a Staff Software Engineer, Applied AI to build and scale the backend systems that power LLM applications in healthcare. This role is ideal for an engineer who thrives at the intersection of backend architecture and applied AI, designing APIs, pipelines, and infrastructure that make LLMs reliable, secure, and cost-efficient in production. If you want to push LLMs beyond demos into mission-critical healthcare workflows, we’d love to hear from you.

Backend for LLMs – Architect and implement scalable, low-latency APIs and services that wrap, orchestrate, and optimize LLMs for healthcare use cases.

Data & Retrieval Pipelines – Build ingestion, preprocessing, and retrieval-augmented generation (RAG) pipelines to ground LLMs in clinical and revenue-cycle data.

LLMOps & Observability – Design systems for model monitoring, evaluation, cost tracking, and guardrails, ensuring reliability and responsible use.

Performance & Optimization – Engineer solutions for caching, batching, load balancing, and scaling LLM workloads across cloud and containerized environments.

Security & Compliance – Implement HIPAA-ready infrastructure, data governance, and auditability for...

Read the full posting on SuperDial's site ↗

Technology

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