Senior AI Engineer - Graph Systems & Agentic AI - Zenara Health

5 years

0 Lacs

india

Posted:4 weeks ago| Platform: Linkedin logo

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Skills Required

ai reports architecture power chatbot pipeline database rendering retrieval healthcare design neo4j data hubspot integration layers algorithms tracking software engineering python fastapi api etl communication capture transcription compensation collaboration

Work Mode

Remote

Job Type

Full Time

Job Description

Location:

India (Remote)

Reports to:

Founder/CEO

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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