Llm Knowledge Graph Jobs in Reston, VA (NOW HIRING)

Job Summary:
BTI360 is a company dedicated to developing software engineers and fostering a culture of growth and collaboration. They are seeking an NLP Engineer to transform raw data into meaningful insights, working closely with engineers and mission teams to tackle complex business problems using AI technologies.
Responsibilities:
• Lead end-to-end knowledge graph and knowledgebase development efforts from problem definition to production, designing pipelines that extract, normalize, link, and organize information into scalable graph-based systems.
• Design and evaluate extraction and resolution workflows using sound methodologies and fit-for-purpose metrics to assess entity extraction, linking, relationship quality, and overall knowledgebase completeness and accuracy.
• Translate business requirements into quantitative problems and communicate technical findings to both technical and non-technical stakeholders through reports, presentations, and direct customer engagement.
• Drive technical decision-making for schema design, ontology alignment, extraction approaches, and graph architecture based on mission needs, data quality, and long-term maintainability.
• Stay current with advances in knowledge representation and information extraction and introduce practical techniques, tools, and frameworks that improve graph construction, curation, and analytic value.
• Apply analytical and statistical methods to validate extracted insights, measure data quality, and support confident decision-making from structured and unstructured sources.
• Develop reports and whitepapers that evaluate solution alternatives based on impact, cost, technical feasibility, and alignment with strategic goals.
• Collaborate across teams to align on strategy, provide data science expertise, and contribute to proposals and strategic initiatives.
• Mentor junior data scientists by providing technical guidance, defining project direction, and sharing best practices in graph-oriented data modeling, extraction workflows, and knowledgebase stewardship.
Qualifications:
Required:
• Active Security Clearance (Secret or higher) or the ability to obtain one
• 5+ years of experience in data science or machine learning roles with demonstrated impact on production systems
• Deep expertise in natural language processing (NLP) techniques
• Experience building Knowledge Graphs using Resource Description Framework (RDF) or Labeled Property Graph (LPG) models, including schema/ontology design
• Experience with Knowledge Graph construction pipelines: rule- and LLM-based Named Entity Recognition (NER), Relation Extraction (RE), Entity Normalization and Disambiguation/Linking
• Proven track record of model evaluation using appropriate metrics and methodologies for different problem types (precision/recall, silhouette scores, benchmarks, etc.)
• Strong scripting skills with experience in AI/ML frameworks (scikit-learn, PyTorch/TensorFlow, transformers) and data manipulation libraries, including proficiency with Jupyter notebooks for exploratory analysis and experimentation
• Basic software engineering practices such as git, CI/CD, code reviews, documentation, and ability to access and leverage remote APIs
• Comfortable working in cloud platforms (AWS, Azure, GCP)
• Excellent communication skills with experience translating technical metrics into business value and presenting findings to leadership and customers
• Ability to work independently
• Candidates must maintain a primary residence within a two-hour drive of Herndon, VA to support onsite collaboration as needed
Preferred:
• Strong Python programming skills
• Experience with Graph RAG (Retrieval-Augmented Generation): hybrid retrieval across graph traversal and dense/sparse vector search
• Experience with large or multimodal datasets
• Experience leading technical initiatives
Company:
BTI360 develops and delivers big data software solutions to minimize the time spent on research and utilize time providing insights. Founded in 2004, the company is headquartered in Ashburn, USA, with a team of 51-200 employees. The company is currently Growth Stage.