We are building a legal knowledge graph in open source for India with a standardized set of concepts and relationships that can be used to improve knowledge management and data integration in the Indian legal industry. Staram is for a hands-on, technically strong Neo4j engineer who can design, build, automate, and maintain the backend knowledge graph layer end-to-end, with particular focus on compliance, regulatory, and risk data models.

The quality, structure, and semantic correctness of data ingested into the graph is mission-critical. The individual is expected to operate with high autonomy, translating vague or evolving requirements into robust graph-backed systems.

Key Responsibilities

Knowledge Graph Architecture & Engineering

· Design and implement Neo4j knowledge graph models for GRC, compliance, risk, and regulatory use cases.

· Define node-edge schemas, ontologies, constraints, indexing strategies, and versioning approaches suited for regulatory data.

· Write and optimise Cypher queries for traversal-heavy, compliance-grade use cases.

Backend & Data Pipelines

· Build and automate end-to-end data ingestion pipelines into Neo4j from structured and semi-structured sources (JSON, CSV, APIs, documents).

· Ensure data lineage, auditability, traceability, and consistency across the knowledge graph.

· Own the backend knowledge graph data layer, including performance tuning and scalability considerations.

Domain-Aware Engineering (GRC / Compliance)

· Work closely with domain experts (lawyers, company secretaries, compliance teams) to translate regulatory and compliance requirements into graph models.

· Implement data structures that support:





o Regulatory obligations o Compliance timelines o Risk relationships o Entity-role-action-event mappings

· Prior exposure to GRC, RegTech, LegalTech, or Compliance platforms is highly preferred.

Independent Execution & Problem Solving

· Convert high-level ideas or loosely defined requirements into production-ready implementations.

· Identify gaps in data models or ingestion logic and proactively resolve them.

· Take ownership of technical decisions related to the knowledge graph layer with minimal supervision.

· Collaborate with frontend, product, and analytics teams to expose graph-backed insights to applications.

· Support downstream use cases such as analytics, dashboards, AI/ML, or GraphRAG (where relevant).

Required Skills & Experience

Must-Have

· Strong, hands-on experience with Neo4j o Graph modelling o Cypher query design and optimisation o Constraints, indexes, performance tuning

· Solid backend engineering experience (Python / Java preferred).

· Experience building data pipelines and backend systems end-to-end.

· Ability to work independently and take full ownership of deliverables.

· Exposure to ontology design or semantic data modelling.

Strongly Preferred

· Prior experience with GRC, Compliance, RegTech, LegalTech, or Risk platforms.

· Experience working with large, evolving datasets where schema discipline is critical.

· Understanding of audit, compliance, or regulatory data expectations (immutability, traceability, versioning).

· Exposure to GraphRAG, LLM + graph systems, or AI-driven compliance tools.

· Experience with MongoDB, GraphQL, or similar supporting technologies.

· Familiarity with DevOps basics and cloud-native deployments.

Pay: ₹100,000.00 - ₹200,000.00 per month

Advantages

- Work from home

Work Location: Hybrid remote in Defence Colony, Delhi, Delhi

📌 Senior Engineer – Knowledge Graphs (Defence Colony)
🏢 Kronicle Research Private
📍 Defence Colony