SuperDial · 4 months ago
Staff Software Engineer, Machine Learning
Burlingame, CA
Full-time
Onsite
Senior Level, Lead/Staff
$145K/yr - $250K/yr
5+ years expSuperDial is transforming AI in healthcare by building scalable, AI-powered solutions that optimize revenue cycle management. They are seeking a Staff Software Engineer to build and scale backend systems for LLM applications in healthcare, focusing on API design, data pipelines, and infrastructure optimization.
Computer Software
Responsibilities
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 LLM-powered applications
Cross-Functional Collaboration – Partner with product, ML engineers, and healthcare experts to translate business workflows into robust backend systems
Technical Leadership – Drive end-to-end delivery of LLM backend projects, establish engineering best practices, and mentor peers in LLM system design
Qualification
Required
5+ years of backend or full-stack software engineering experience, with 3+ years working on ML/LLM-enabled applications
Strong coding skills in Python (and ideally one statically typed language such as Go, Java, or TypeScript)
Experience with LLM integration frameworks (Hugging Face, LangChain, LlamaIndex, OpenAI APIs, Anthropic, etc.)
Deep knowledge of distributed systems, service-oriented architecture, and building APIs at scale
Cloud-native expertise: AWS/GCP/Azure, Kubernetes, Docker, Terraform, etc
Familiarity with MLOps/LLMOps practices: CI/CD for models, evaluation harnesses, monitoring, and reproducibility
Excellent system design skills and the ability to align technical architecture with product goals
Preferred
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
Benefits
Health, dental, and vision coverage
Equity options
Company
SuperDial
SuperDial automates high-volume outbound phone calls that healthcare teams make to insurers using advanced voice AI.
11-50 employees
Funding
Current Stage
Early StageLeadership Team
Sam Schwager
Co-Founder & CEO
Harrison Caruthers
Co-Founder & CTO
Recent News
2025-06-26
Seattle TechFlash
2025-06-25
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