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Llm Knowledge Graph Jobs in Washington, DC (NOW HIRING)

CYNET SYSTEMS

Senior Data Scientist

Washington, DC · On-site

$65/hr

Design, build, and optimize Generative AI, LLM, and multimodal foundation models for enterprise ... Background in vector databases, RAG pipelines, and knowledge graph integration. * Experience with ...

Twenty

Mission Architect

Arlington, VA · On-site

... LLM-based workflows, or knowledge graph applications. • You have experience in evaluation design, operational test and evaluation, or scenario-based product assessment. • You have created ...

Twenty

Mission Architect

Arlington, VA · On-site

... LLM-based workflows, or knowledge graph applications. • You have experience in evaluation design, operational test and evaluation, or scenario-based product assessment. • You have created ...

ZIO Technologies

AI ML Software Engineer

Annapolis, MD · On-site

$113K - $136K/yr

Building LLM agents for knowledge retrieval, deep research, translation, transcription, redaction ... Document analysis using NLP and graph techniques Year 3 * Scaling chatbot systems for broader ...

Steampunk

AI Developer

Mclean, VA · On-site

$140K - $190K/yr

Develop end-to-end AI solutions including LLM-powered applications, predictive ML models, multi ... Working knowledge of vector and relational data stores including AWS RDS Postgres (pgvector) and ...

Steampunk

AI Developer

Mclean, VA · On-site

$140K - $190K/yr

Develop end-to-end AI solutions including LLM-powered applications, predictive ML models, multi ... Working knowledge of vector and relational data stores including AWS RDS Postgres (pgvector) and ...

steampunk

AI Developer with Security Clearance

Fairfax, VA · On-site

$140K - $190K/yr

Develop end-to-end AI solutions including LLM-powered applications, predictive ML models, multi ... Working knowledge of vector and relational data stores including AWS RDS Postgres (pgvector) and ...

Steampunk

AI Developer

Mclean, VA

$140K - $190K/yr

Develop end-to-end AI solutions including LLM-powered applications, predictive ML models, multi ... Working knowledge of vector and relational data stores including AWS RDS Postgres (pgvector) and ...

Vantor

Senior Data Scientist

Reston, VA · On-site

Awareness of responsible AI practices and ethical considerations in LLM deployment. * Knowledge of ... Strong understanding of graph data modeling, graph algorithms, and graph query languages such as ...

Twenty Technologies, Inc

Mission Architect

Arlington, VA · On-site

$137K - $240K/yr

You have worked with AI/ML-powered products, including agentic systems, LLM-based workflows, or knowledge graph applications. * You have experience in evaluation design, operational test and ...

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Showing results 21-40

All JobsLlm Knowledge Graph JobsLlm Knowledge Graph Jobs in Washington, DC

Llm Knowledge Graph information

See Washington, DC salary details

$46.4K

$71.7K

$108.2K

How much do llm knowledge graph jobs pay per year?

As of Sep 8, 2026, the average yearly pay for llm knowledge graph in Washington, DC is $71,705.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,800.00 and $78,700.00 per year, depending on experience, location, and employer.

What is the difference between Llm Knowledge Graph vs Data Scientist?

AspectLlm Knowledge GraphData Scientist
Required CredentialsKnowledge of NLP, graph databases, machine learningStatistics, programming, data analysis
Work EnvironmentResearch labs, AI companies, tech firmsCorporate, consulting, research institutions
Industry UsageAI, knowledge management, semantic webBusiness analytics, predictive modeling

While both roles involve data and machine learning, Llm Knowledge Graph specialists focus on building interconnected knowledge bases using NLP and graph technologies, whereas Data Scientists analyze data to extract insights and build predictive models. The roles often overlap in AI projects but serve different core functions within organizations.

What are popular job titles related to Llm Knowledge Graph jobs in Washington, DC?

For Llm Knowledge Graph jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Llm Knowledge Graph jobs in Washington, DC look for?

The top searched job categories for Llm Knowledge Graph jobs in Washington, DC are:

Llm Knowledge Graph jobs near you

Senior Data Scientist

CYNET SYSTEMS

Washington, DC • On-site

$65/hr

Contractor

Re-posted 4 hours ago

Job description

Job Overview:

Requirement/Must Have:

  • Master's or PhD in Computer Science, Data Science, Machine Learning, AI, or related field.
  • 8+ years of hands-on experience building and deploying machine learning models in production.
  • Proven expertise with LLMs, transformer architectures, transfer learning, and model fine-tuning.
  • Strong proficiency in Python, PyTorch or TensorFlow, and ML libraries such as Transformers.
  • Experience with cloud ML platforms, containerization (Docker/Kubernetes), and MLOps tools.
  • Solid understanding of statistical modeling, optimization, and evaluation methodologies.
  • Strong communication skills and ability to collaborate in cross-functional, fast-paced environments.

Responsibilities:

  • Design, build, and optimize Generative AI, LLM, and multimodal foundation models for enterprise fintech applications.
  • Fine-tune or adapt open-source and proprietary models.
  • Build high-performance models for NLP, document intelligence, anomaly detection, risk scoring, predictive analytics, and decisioning use cases.
  • Lead experimentation to evaluate model accuracy, scalability, and fairness.
  • Partner with engineering teams to deploy models on cloud-based ML pipelines (Azure, AWS) & data platforms (Databricks & Snowflake).
  • Work with large-scale structured and unstructured datasets across the payments and financial ecosystem.
  • Implement model monitoring, drift detection, and continuous retraining strategies.
  • Evaluate and operationalize new AI technologies, foundation model architectures, responsible AI frameworks, and emerging research.
  • Drive POCs and innovation initiatives that enhance AI capabilities and differentiate our products.

Nice to Have:

  • Experience working in fintech, payments, banking, or fraud/risk environments.
  • Background in vector databases, RAG pipelines, and knowledge graph integration.
  • Experience with data privacy, model governance, and Responsible AI frameworks.
  • Contributions to open-source AI/ML communities or research publications.

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading staffing and recruiting powerhouse. Proudly recognized as a nationally and locally certified diversity firm, Cynet delivers agile, scalable talent solutions across industries. With an active footprint in all 50 U.S. states and Canada, we support thousands of consultants through our expansive, high-performing recruitment engine operating across North America and Asia—ensuring speed, quality, and consistency in every hire.
Cynet Systems logo

About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

Social media

Twitter

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