CKG Lead EngineerAvathon, Inc

Avathon, Inc


Position Title: CKG Lead Engineer

Who We Are & Why Join Us

Avathon is revolutionizing industrial AI with a powerful platform that enables businesses to harness the full potential of their operational data. Our technology seamlessly integrates and contextualizes siloed datasets, providing a 360-degree operational view that enhances decision-making and efficiency. With advanced capabilities like digital twins, natural language processing, normal behavior modeling, and machine vision, we create real-time virtual replicas of physical assets, enabling predictive maintenance, performance simulation, and operational optimization. Our AI-driven models empower companies with scalable solutions for anomaly detection, performance forecasting, and asset lifetime extensionall tailored to the complexities of industrial environments. 

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.

Learn more at: Avathon

About Neon - Our Computational Knowledge Graph Platform 

Neon is Avathons proprietary Computational Knowledge Graph (CKG) platform that combines: 1. Knowledge Graph - A network of connected facts, entities, and relationships 2. 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. 

 

About the Role: 

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 Neons unique computational capabilities. 

This is a mid-senior level position (5-8 years experience) that combines technical leadership with hands-on development. 

 

You Will: 

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/NumPy 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

 

Youll Have: 

5-8 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, TigerGraph, 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

 

Nice to Have: 

Experience with RDF, SPARQL, or semantic web technologies

Knowledge of NLP/NER pipelines for entity extraction and relationship mining

Experience with ML model integration and MLOps

Familiarity with supply chain, manufacturing, or BOM data structures

Experience with time series data and IoT integration

Knowledge of graph algorithms (shortest path, centrality, community detection)

Experience with data visualization for graph structures

Contributions to open-source graph or knowledge management projects

 

Key Technologies 

Category 

Technologies 

Languages 

Python (primary), Scala, IQL 

Graph Platforms 

Neon/Maana (proprietary), Neo4j concepts 

Cloud 

GCP (primary), AWS Lambda for external compute 

Data 

SQL, NoSQL, Time Series DBs 

APIs 

REST, GraphQL concepts 

ML Integration 

TensorFlow, PyTorch, NumPy 

 

Coding Challenge 

As part of the interview process, you will be asked to complete a technical assessment.

Salary Range: $150k-$220k

Avathon is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws.

Avathon is committed to providing reasonable accommodations throughout the recruiting process. If you need a reasonable accommodation, please contact us to discuss how we can assist you.

Equal employment opportunity, including veterans and individuals with disabilities.

PI282050002