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

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