The roleYou'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- 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
