Software Engineer - Knowledge

Jeevy Fabrication

$110K — $130K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of software engineering experience in Python, TypeScript, or related languages.
  • Proven experience with graph databases like Neo4j or a strong desire to learn.
  • Understanding of machine learning concepts, including LLMs and AI systems.
  • Ability to create scalable data models and distributed architectures.
  • Strong problem-solving abilities with a focus on simplicity and elegance.
  • Enthusiasm for working in a dynamic startup environment with high ownership.

Responsibilities

  • Architect the semantic structure for integrating diverse industrial data.
  • Design and implement efficient graph schemas.
  • Develop robust ingestion and retrieval pipelines.
  • Create AI-driven reasoning systems to enhance data usability.
  • Collaborate with AI and product teams for autonomous workflows.
  • Shape the representation and querying of industrial knowledge.

Benefits

  • Significant ownership in projects and initiatives.
  • Opportunities to work with cutting-edge AI technologies.
  • Dynamic and fast-paced startup culture.
  • Collaboration with cross-functional teams.
  • Room for personal and professional growth.
Full Job Description
As a Software Engineer focused on Knowledge Graphs, you'll architect the semantic foundation that connects engineering drawings, specifications, manufacturing processes, and project data into a unified intelligence layer. You'll design graph schemas, build high-performance ingestion and retrieval pipelines, develop AI-powered reasoning systems, and work closely with our AI and product teams to enable autonomous workflows. This is a foundational engineering role with significant ownership and the opportunity to shape how industrial knowledge is represented, queried, and understood at scale.

Requirements
  • Strong software engineering experience in Python, TypeScript, or similar languages.
  • Experience with graph databases (Neo4j, Memgraph, Neptune, RDF/SPARQL, or similar) or a strong desire to become an expert.
  • Familiarity with LLMs, embeddings, vector databases, RAG, or AI agent systems.
  • Ability to design scalable data models and distributed systems.
  • Strong problem-solving skills and a bias toward building simple, elegant solutions.
  • Excited to work in a fast-moving startup with significant ownership and autonomy.

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