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Software Engineer, Client Solutions

Delivers client deployments for healthcare AI products, handling ML model lifecycle, LLM evaluations, technical onboarding, integrations, and production stability. Requires 4+ years Python, LLM evals experience, and works with client, product, R&D teams.

150k – 175kNew York, NYSan Francisco, CASouth San Francisco, CASolutions ArchitectureHybrid4+ YOE

About the role

What You'll Do

  • Execute implementation tasks for new deployments — from requirements analysis to configuration, testing, rollout, and support of production health.
  • Work with client engagement teams to guide customers through technical onboarding, integration setup, troubleshooting, and data acquisition
  • Build and own evaluation frameworks to continuously measure and improve LLM performance across customer deployments
  • Contribute feedback and insights that shape product and platform improvements
  • Work closely with R&D engineering teams to build robust scalable client solutions

Skills & Qualifications

  • Bachelor's degree in Computer Science, Engineering, or similar
  • 4+ years of professional Python experience
  • Experience designing and running LLM evals (offline and online) to measure model quality and performance.
  • Comfortable working with relational databases, APIs, and ETL pipelines
  • Strong communication and interpersonal skills with meticulous attention to detail

Nice to haves

  • Familiarity with FastAPI, SQLAlchemy, Postgres.
  • Proficiency in Docker, Kubernetes, AWS.
  • CI/CD experience with GitHub Actions.
  • Experience with healthcare data exchange (FHIR, HL7, EDI)
  • Frontend experience (React)

Compensation

Salary range: $150,000-$175,000 + Equity

Skills

PythonLLMsFastAPISqlalchemyPostgresDockerKubernetesAWSGitHub ActionsFHIRHl7EdiReactETLAPIs

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