D

Dark Wolf Solutions

DevSecOps, security testing, and incident response.

AI Software Engineer

Applied Machine LearningConfirmed live in the last 24 hours
Full-time$120k - $160kIn-person

About the Job

Requirements

  • A bachelor's or master's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related technical field is required.
  • At least 5 years of experience engineering production-grade AI/ML systems, or at least 3 years with a master's or Ph.D.
  • Hands-on experience fine-tuning, evaluating, and deploying open-source and proprietary large language models, embedding models, and vector databases such as Pinecone, Milvus, Qdrant, or FAISS.
  • Proficiency in Python, PyTorch, TensorFlow, LangChain, LlamaIndex, and modern API frameworks such as FastAPI and RESTful APIs.
  • Experience working with complex structured and unstructured data sources, SQL, NoSQL, graph databases, and data lakes.
  • Must hold an active U.S. Government Secret clearance or higher and be eligible to obtain TS/SCI access.
  • Must be a U.S. citizen.
  • Must be a direct, full-time W-2 employee; third-party staffing agencies, C2C arrangements, and 1099 independent contractors are not engaged.

Responsibilities

  • Architect and implement Retrieval-Augmented Generation systems and large language model agents to query, summarize, and synthesize insights across large volumes of structured and unstructured data.
  • Build semantic search engines integrating internal legacy databases, data lakes, open-source repositories, and subscription-based scientific literature through APIs.
  • Implement natural language translation, automated document classification, and multi-document summarization to support science and technology gap analysis.
  • Develop intelligent chatbots and virtual agents that provide automated, role-based recommendations, career path mapping, and skills gap analysis for enterprise workforces.
  • Build natural language processing-driven tasking models to ingest natural language inquiries, query underlying enterprise data sources, and draft contextual responses with audit trails for records management compliance.
  • Design machine learning algorithms, including anomaly detection, predictive modeling, and causal inference, to identify project risks, optimize resource allocation, and forecast financial and technical shifts.
  • Collaborate with UI/UX and data engineers to build interactive, role-based dashboards that enable natural language querying and drill-down analytics for leadership decision-making.
  • Design automated ingestion and ETL/ELT pipelines using natural language processing and pattern recognition to transform disparate data formats into a standardized, unified Data Fabric schema.
  • Implement Explainable AI techniques to ensure model recommendations are transparent and trustworthy.
  • Ensure AI models, APIs, and data storage solutions adhere to Department of Defense security regulations, including NIST, FedRAMP, and the Risk Management Framework, across multiple classification levels.

Desired Qualifications

  • Experience deploying AI applications within Department of Defense, Air Force, or federal agency environments, including CAC/PKI integration and IL4/IL5/IL6 cloud environments.
  • A proven track record building Explainable AI architectures for leadership decision support.
  • Background developing AI solutions for HR systems, workflow management software, or scientific and academic literature indexing.
  • Experience with cloud platforms such as AWS GovCloud and Azure Government, and containerized deployment technologies such as Docker and Kubernetes.

About the Company

Dark Wolf Solutions

DevSecOps, security testing, and incident response.

Dark Wolf Solutions provides DevSecOps agile software development, information operations, penetration testing and incident response, applied research and rapid prototyping, machine learning, and mission support and engineering services to the Intelligence Community, national security, and Fortune 500 customers. It combines secure software development, cybersecurity testing, incident response, research, and ML to create tools and systems that meet mission requirements, with ongoing operational support. The company differentiates itself with deep federal domain expertise and end-to-end capabilities that span development to operations for government and large enterprises. Its goal is to help intelligence and security-focused organizations leverage new technologies while keeping systems secure and resilient.

Company size
201-500
Company stage
Grant
Total funding
$1.7M
Headquarters
Herndon, VA
Founded
2009

Recently Posted Jobs

Explore more opportunities at Dark Wolf Solutions

See more jobs