Senior AI Engineer – Graph Systems, Agentic AI
Employment Information
Job Description
AI Engineer building innovative AI memory architecture at Zenara Health. Collaborating directly with the founder to develop graph systems and ingestion pipelines for advanced AI capabilities.
Responsibilities:
- Design and implement graph database schemas (Neo4j, Kuzu, or similar)
- Build data ingestion pipelines from APIs (Fireflies, HubSpot, Evernote, etc.)
- Develop LLM integration layers with function calling and tool use
- Create rendering algorithms for context-window-optimized canonical views
- Implement provenance tracking and temporal decay mechanisms
- Collaborate on architectural decisions and trade-offs
Requirements:
- 5+ years software engineering experience
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field from one of India’s top institutes (e.g., **IITs, BITS, IISc**).
- Expert-level Python (async, FastAPI, data pipelines)
- Strong experience with graph databases (Neo4j, Memgraph, Kuzu, or similar)
- Experience integrating LLMs into production systems
- Familiarity with RAG, embeddings, and vector databases
- Strong API integration and ETL experience
- Excellent communication skills
- NICE TO HAVE:
- Healthcare domain experience (HIPAA, FHIR)
- Experience with ambient capture / transcription systems
- Contributions to open-source AI/graph projects
- Startup or early-stage experience
Benefits:
- Competitive compensation (depending on experience)
- Equity participation
- Direct collaboration with founder
- Opportunity to build foundational AI infrastructure
- Remote-first culture
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