Values

The ad says“Experience with graph databases or knowledge graph platforms (Neo4j, Amazon Neptune, TigerGraph, or similar)”
The ad says“Experience with cloud platforms (GCP preferred, AWS or Azure acceptable)”
The ad says“Experience with cloud platforms (GCP preferred, AWS or Azure acceptable)”
The ad says“Familiarity with supply chain, manufacturing, or BOM data structures”
The ad says“Experience with data visualization for graph structures”
The ad says“Experience with cloud platforms (GCP preferred, AWS or Azure acceptable)”
The ad says“Knowledge of graph algorithms (shortest path, centrality, community detection)”
The ad says“REST, GraphQL concepts”
The ad says“Experience with time series data and IoT integration”
The ad says“Python (primary), Scala, IQL”
The ad says“Travis CI, Jenkins”
The ad says“Familiarity with supply chain, manufacturing, or BOM data structures”
The ad says“Experience with ML model integration and MLOps”
The ad says“Experience with ML model integration and MLOps”
The ad says“Experience with graph databases or knowledge graph platforms (Neo4j, Amazon Neptune, TigerGraph, or similar)”
The ad says“Knowledge of NLP/NER pipelines for entity extraction and relationship mining”
The ad says“SQL, NoSQL, Time Series DBs”
The ad says“TensorFlow, PyTorch, NumPy”
The ad says“TensorFlow, PyTorch, NumPy”
The ad says“Experience with RDF, SPARQL, or semantic web technologies”
The ad says“Python (primary), Scala, IQL”
The ad says“Experience with RDF, SPARQL, or semantic web technologies”
The ad says“Experience with RDF, SPARQL, or semantic web technologies”
The ad says“Familiarity with supply chain, manufacturing, or BOM data structures”
The ad says“TensorFlow, PyTorch, NumPy”
The ad says“Experience with graph databases or knowledge graph platforms (Neo4j, Amazon Neptune, TigerGraph, or similar)”
The ad says“Experience with time series data and IoT integration”
The ad says“SQL, NoSQL, Time Series DBs”
The ad says“Travis CI, Jenkins”

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.

Learn more at: avathon.com

Work Location: Bangalore

5 Days Onsite

About Neon -- Our Computational Knowledge Graph Platform

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.

About the Role

We are seeking an experienced CKG 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 (4-7 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

You'll Have

4-7 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, 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

Preferred Qualifications

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, Azure
Data	SQL, NoSQL, Time Series DBs
APIs	REST, GraphQL concepts
ML Integration	TensorFlow, PyTorch, NumPy
CI/CD	Travis CI, Jenkins

Interview Process

As part of the interview process, you will be asked to complete a technical case study assessment. Expect atleast two-three rounds of Technical interviewing rounds and one onsite round.

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.