SafeRide Health

Staff Software Engineer, AI

SafeRide Health

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Job Level

Lead

Tech Stack

AWSAzureCloudDistributed SystemsDockerGoGraphQLJavaJavaScriptMicroservicesNext.jsNode.jsPythonReactSDLCTerraformTypeScript

About the role

  • Lead architecture and implementation for AI-enabled capabilities (member chat/IVR, dispatch optimization, provider quality signals, fraud/waste/abuse detection, internal operator tooling), balancing reliability, cost, and speed.
  • Design and evolve model-backed systems (LLMs, RAG, classification/ranking, speech/ASR) with evaluation harnesses, guardrails, and human-in-the-loop flows.
  • Establish engineering best practices for AI in production: prompt/version management, feature flags, offline/online evaluation, shadow testing, red-teaming, and observability.
  • Define data contracts and collaborate with data teams on feature stores, lineage, retention, and PHI/PII access controls; improve data quality through validation and monitoring.
  • Build secure, scalable APIs and event-driven microservices; drive performance tuning, resiliency patterns, and capacity planning.
  • Implement polished, accessible front-end experiences (React/Next.js); set performance budgets and accessibility standards.
  • Instrument systems end-to-end with metrics, logs, and traces; design dashboards/alerts and run experiments (A/B and interleaving).
  • Champion privacy, security, and compliance (HIPAA); partner with InfoSec/Legal on threat modeling and responsible AI safeguards.
  • Mentor senior engineers, lead design reviews and RFCs, elevate SDLC practices (testing strategy, CI/CD, deploy safety), and contribute to hiring loops.
  • Own operational excellence for critical services: define SLOs/SLIs, lead incident response and postmortems, and drive systemic fixes to reduce toil.

Requirements

  • 10+ years of professional software engineering experience, with substantial time building and operating distributed systems and modern web applications.
  • Demonstrated ownership of complex, multi-team initiatives; ability to decompose ambiguous problems and deliver incremental value quickly.
  • Deep proficiency in at least two of: TypeScript/Node.js, Python, Go, or Java; strong system design and code quality skills.
  • Hands-on experience shipping AI/ML-backed products (LLM APIs/SDKs, RAG, embeddings/vector databases) with rigorous evaluation and observability.
  • Expertise building RESTful/GraphQL APIs, event-driven systems (queues/pub-sub/WebSockets), and microservices on a major cloud (AWS preferred).
  • Strong data fundamentals (relational databases, caching, streaming) with pragmatic data modeling and quality practices.
  • Operational excellence in CI/CD, containerization (Docker), infrastructure-as-code, metrics/logging/tracing, on-call leadership, and cost/performance management.
  • Security mindset with authentication/authorization, secrets management, least-privilege access, and PHI/PII handling.
  • Clear communication and collaboration skills; ability to influence architecture and product direction across functions.