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Senior Backend Engineer (AI Focus)

GTMfund
New Shwaib, UAE
Full Time
Senior
Onsite
3 days ago
PythonFastAPIPostgreSQLREST APIsAWSDocker
Free

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PythonFastAPIPostgreSQL
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Why Atrix

  • Medical affairs teams at pharma companies are drowning in unstructured data—field notes from medical science liaisons, conference takeaways, real world insights from post market studies, scattered across dozens of sources.
  • By the time these insights reach clinicians, they're stale. We're fixing that.
  • Atrix helps medical affairs teams extract insights from messy, unstructured sources and turn them into action—so emerging findings get to clinicians faster and drugs are delivered more effectively.
  • We're working with top 20 pharma companies and winning head to head against larger competitors because we actually listen to customers and build what they need.

Who We Are

  • A small, senior team with roots at Google, a16z, Plaid, and Kickstarter. Seed stage, onsite in NYC.
  • Everyone here has built and scaled products.

The role

  • You'll be a core backend engineer building the services and infrastructure that power our AI platform.
  • You'll design and implement scalable APIs, optimize database performance, build distributed task processing systems, and ensure our platform can handle the demands of enterprise pharma customers.

What You'll Own

  • Our FastAPI based backend services, including REST APIs serving complex AI workflows
  • Database architecture and query optimization in PostgreSQL
  • Distributed task processing with Celery and Redis
  • Infrastructure and deployment pipelines on AWS (EKS, S3, SQS, Lambda)
  • Integration with LLM frameworks (LangChain, LlamaIndex) and vector databases
  • Backend features that power document processing, data enrichment, and real time communication

You bring

  • 4+ years with Python
  • 2+ years building production REST APIs with FastAPI, Django, or Flask
  • PostgreSQL experience including schema design
  • Familiarity with async Python patterns
  • Docker containerization experience
  • Some exposure to cloud infrastructure (AWS preferred)

Bonus points

  • Redis and Celery for distributed task processing
  • Deep query optimization and database performance tuning
  • Kubernetes experience
  • Vector databases (Qdrant, Pinecone) or embeddings experience
  • LLM framework experience (LangChain, LlamaIndex)
  • Healthcare or life sciences domain experience

Compensation Range

  • $140K $190K

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