Zenara Health is a technology-driven mental health care company dedicated to transforming access and quality of mental wellness services. The company combines AI-powered platforms with expert clinical care to deliver personalized, effective mental health solutions. Zenara Health strives to innovate and improve mental health outcomes by connecting patients and providers through a seamless digital experience.
About the role:
We're building a novel AI memory architecture that will power the next generation of deeply grounded AI agents. This is not a chatbot or a simple RAG pipeline -- it's foundational infrastructure for AI that truly understands humans and their work. As our first AI engineer, you'll architect and build:
A graph database storing entities, relationships, and events from multiple sources
Ingestion pipelines from meeting transcripts, emails, notes, and ambient capture
A rendering engine that produces LLM-optimized canonical views
An agentic AI layer with tools for retrieval and graph queries
You'll work directly with the founder, a physician-technologist building AI for healthcare and beyond.
What you'll do:
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:
Must Have:
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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