Lead Engineer, Computational Graph

Who We Are & Why Join Us

Avathon is the leading Industrial AI autonomy platform, helping customers across heavy industries – energy, mining, manufacturing, aerospace, defense, and logistics – accelerate the journey toward autonomous operations. Our platform is built on a Computational Knowledge Graph foundation that contextualizes and connects operational data across siloed systems, bringing together time series, structured, unstructured, and machine vision data to power AI‑driven applications in asset performance management, supply chain intelligence, visual AI, and global trade management.

With capabilities spanning digital twins, normal behavior modeling, natural language processing, and computer vision, Avathon delivers real‑time predictive intelligence and agentic decision‑making at industrial scale.

Cutting‑Edge AI Innovation – Join a team at the forefront of AI, developing groundbreaking solutions that shape the future. High‑Growth Environment – Thrive in a fast‑scaling startup where agility, collaboration, and rapid professional growth are the norm. Meaningful Impact – Work on AI‑driven projects that drive real change across industries and improve lives.

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Neon is Avathon's proprietary Computational Knowledge Graph (CKG) platform that combines:

• Knowledge Graph – A network of connected facts, entities, and relationships
• Computation Graph – Complex analytics and computations defined on top of the knowledge graph

Neon powers decision‑intelligence applications across supply chain, manufacturing, and energy domains. It enables multi‑hop graph traversals, nested data operations, real‑time analytics, and seamless integration with ML/AI pipelines.

We are seeking an experienced CKG Lead Engineer to help design, develop, and scale our Neon platform. In this role, you will work on the full‑stack development of our knowledge graph platform, from ontology design and schema modeling to query optimization and Python integration. You will collaborate with data scientists, product managers, and customers to build solutions that leverage Neon's unique computational capabilities.

This is a mid‑senior level position (5–7 years experience) that combines technical leadership with hands‑on development.

• Design and implement knowledge graph schemas, ontologies, and data models for complex domains (supply chain, manufacturing BOM, logistics)
• Develop and optimize IQL (Intermediate Query Language) queries for multi‑hop graph traversals, joins, and aggregations
• Build data ingestion pipelines to populate and maintain knowledge graphs from diverse data sources
• Implement computational functions and analytics on top of the knowledge graph
• Integrate Neon with Python/Num Py for advanced analytics and ML model integration
• Design and build APIs to expose knowledge graph capabilities to downstream applications
• Optimize query performance for large‑scale datasets (1M+ records)
• Collaborate with product and data science teams to translate business requirements into graph solutions
• Mentor team members on IQL, graph modeling, and Neon best practices
• Contribute to platform roadmap and architectural decisions

• 5–7 years of software engineering experience, with at least 2 years working with graph technologies or knowledge graphs
• Strong proficiency in Python programming
• Experience with graph databases or knowledge graph platforms (Neo4j, Amazon Neptune, Tiger Graph, or similar)
• Understanding of ontology design, schema modeling, and graph data structures
• Experience with SQL and query optimization
• Familiarity with REST APIs and web services architecture
• Experience with cloud platforms (GCP preferred, AWS or Azure acceptable)
• Strong problem‑solving skills and ability to translate complex business requirements into technical solutions
• Excellent communication skills and ability to work with cross‑functional teams
• BS or MS in Computer Science, Engineering, or related field

• Experience with RDF, SPARQL, or semantic web technologies
• Knowledge of NLP/NER pipelines for entity extraction and relationship mining
• Experience with ML model…