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8 часов назад

AI Developer (Healthcare AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
c1
Страна
Turkey
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
AI Developer (Healthcare AI): Building intelligent healthcare agents as Python microservices for medical-record processing, clinical-trial matching, and healthcare-system integration with an accent on LLMs, vector databases, and healthcare data standards. Focus on designing event-driven multi-agent pipelines, implementing FHIR and clinical terminology integrations, and delivering observable production services that support patient outcomes.

Location: Hybrid, Kadıköy, İstanbul, Türkiye

Company

hirify.global operates an AI-powered precision medicine platform that connects cancer patients with clinical trials and partners with pharmaceutical companies, CROs, and healthcare systems.

What you will do

  • Build and deploy AI agents as Python microservices on the Agent Studio platform.
  • Design multi-agent pipelines for OCR, clinical abstraction, terminology mapping, and FHIR generation.
  • Integrate GPT-4o, GPT-5, and other LLM services for clinical text extraction, summarization, and decision support.
  • Use Qdrant and other platform services for semantic search, RAG, and terminology resolution.
  • Build healthcare integrations with Azure FHIR and standards including HL7, SNOMED CT, RxNorm, and LOINC.
  • Develop dashboard features, production-ready code, error handling, observability, and collaborate with clinical teams on medical workflows.

Requirements

  • 3+ years of professional software development experience.
  • Professional proficiency in written and spoken English.
  • Strong Python skills, including async/await, Pydantic, and FastAPI or similar frameworks.
  • Experience with LLM prompt engineering, function calling, RAG pipelines, or fine-tuning.
  • REST API design and implementation, SQL proficiency with PostgreSQL preferred, and Git workflows including branching, pull requests, and code review.
  • Comfort with Docker and containerized deployments.
  • Strong problem-solving skills and ability to work independently.

Nice to have

  • Healthcare data experience, including FHIR, HL7, ICD-10, SNOMED CT, or medical records.
  • Azure services such as Container Apps, Service Bus, Cosmos DB, Key Vault, and Blob Storage.
  • Vector databases such as Qdrant, Pinecone, or Weaviate and embedding models.
  • OpenTelemetry or distributed tracing experience.
  • TypeScript and React, including Next.js, for dashboard contributions.
  • Event-driven architecture, message queues, pub/sub, and CI/CD pipelines using Azure DevOps or GitHub Actions.
  • Knowledge of clinical trials, oncology workflows, biotech, or CRM integrations such as HubSpot and Salesforce.

Culture & Benefits

  • Hybrid work arrangement in Kadıköy, İstanbul, Türkiye.
  • Agents operate as standalone Python microservices with SDK access to LLM, vector database, PostgreSQL, CRM, and FHIR services.
  • Event-driven pipelines use Azure Service Bus queues and topics.
  • One-click deployment is available through the Agent Studio dashboard.
  • Execution tracking, token-usage monitoring, and distributed tracing provide full observability.

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