Backend Engineer (AI, LLM, Healthcare)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Backend Engineer (AI, LLM, Healthcare): Develop backend services and processing pipelines for large-scale healthcare data with an accent on integrating LLM-powered components and building scalable distributed systems. Focus on end-to-end feature delivery, observability for services and data pipelines, and translating requirements into technical specifications for data-rich user experiences.
Location: Remote (U.S. applicants only)
Salary: $150K–$200K (equity offered)
Company
builds a patient-powered real-world data platform that turns longitudinal health records into actionable insights for biopharma innovation.
What you will do
- Develop backend services and data processing pipelines to efficiently handle large volumes of healthcare data.
- Integrate and optimize AI components, including LLMs, to power intelligent features and insights.
- Collaborate with frontend, data, and AI teams to deliver seamless, data-rich user experiences.
- Own end-to-end feature development from conception through deployment and ongoing maintenance.
- Implement observability for services and data pipelines (monitoring, logging, alerting, autoscaling) to support diagnostics and performance insights.
- Apply best practices for coding, testing, and deployment to ensure high-quality deliverables.
Requirements
- U.S. applicants only
- 5+ years of backend development experience building scalable, distributed systems.
- Strong proficiency in one or more modern backend languages (e.g., Python, Node.js, Java).
- Solid understanding of RESTful API design and microservices architectures.
- Experience with cloud platforms (AWS, GCP, or Azure) and relational databases.
- Strong system design and backend observability experience (monitoring, logging, alerting, autoscaling).
Nice to have
- Experience with message queues, data streaming platforms, and vector databases.
- Experience building real-world applications with LLM tooling (e.g., LangChain, LlamaIndex) and prompt engineering.
- Experience with RAG systems and AI-driven similarity search.
- Familiarity with FHIR and healthcare interoperability standards.
Culture & Benefits
- Equity in .
- Medical, dental, and vision coverage.
- 401k, flexible time off, and a wellness stipend.
- Up to 12 weeks of parental leave.
Hiring process
- Interviews to assess backend engineering experience, system design, and ability to deliver end-to-end features.
- Technical evaluation focused on backend services, data processing, and AI/LLM integration.
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