Journeyman LLM + Ontology Software Engineer

Isys TechnologiesOmaha, NE
$92,000 - $105,000

About The Position

I2X Technologies is a reputable technology services company to the Federal Government. Whether the focus is on space exploration, national security, cyber security, or cutting-edge engineering applications, I2X is ready to offer you the chance to make a real-world impact in your field and for your country. We provide long-term growth and development. Headquartered in Colorado, I2X is engaged in programs across the country and in more than 20 states. Our programs support multiple Federal agencies, the Department of Defense and often focused on the space initiatives of our government customers. I2X Technologies is seeking a Journeyman LLM Engineer: Job Summary: We are looking for a Journeyman LLM Engineer to develop and enhance intelligent applications that combine Large Language Models (LLMs) with formal ontologies and knowledge graphs.

Requirements

  • 3–6 years of experience in software engineering with a focus on AI/ML or LLM development
  • Solid experience and proficiency with Java for building scalable back-end services and integrating with LLMs
  • Strong hands-on experience working with Large Language Models
  • Practical experience with ontologies, knowledge graphs (RDF, OWL, or similar), and semantic technologies
  • Proficiency in Python and relevant frameworks (LangChain, LlamaIndex, etc.)
  • Experience with vector databases and retrieval systems
  • Solid understanding of software engineering best practices and version control (Git)
  • US Citizenship is required.
  • Clearance: TS/SCI

Nice To Haves

  • Experience in ontology modeling or semantic web technologies
  • Knowledge of graph databases (Neo4j, GraphDB, etc.)
  • Familiarity with evaluation frameworks for LLMs
  • Experience with cloud platforms (AWS, Azure, or GCP)

Responsibilities

  • Design and implement solutions that integrate LLMs with ontologies for improved accuracy and reasoning
  • Develop Retrieval-Augmented Generation (RAG) systems using ontology-based knowledge
  • Build and maintain knowledge graphs and ontologies to support LLM applications
  • Fine-tune, prompt engineer, and evaluate LLMs for specific business use cases
  • Create APIs and services that allow applications to interact with LLMs and ontology data
  • Ensure the reliability, scalability, and ethical use of LLM-powered features
  • Collaborate with data scientists, engineers, and domain experts

Benefits

  • competitive compensation program
  • comprehensive benefits package
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