Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Чётко очерченная инженерная роль сочетает разработку AI-систем для продакшена с важной задачей в медицине, но гибридный формат в Стамбуле ограничивает доступность вакансии.
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Гибрид в СтамбулеСовременный AI-стекAI в медицинеПонятные задачи
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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