AI Software Engineer

Dark Wolf is seeking a highly skilled Senior AI Engineer to architect, build, and deploy advanced, secure AI-driven solutions supporting federal and defense enterprises.

In this role, you will tackle enterprise data fragmentation by designing automated data ingestion pipelines, Retrieval-Augmented Generation (RAG) architectures, and predictive analytics tools.

Key Responsibilities:

• Architect and implement Retrieval-Augmented Generation (RAG) systems and Large Language Model (LLM) agents to query, summarize, and synthesize insights across large volumes of structured and unstructured data.
• Build semantic search engines capable of integrating internal legacy databases, data lakes, open-source repositories, and subscription-based scientific literature via APIs.
• Implement natural language translation, automated document classification, and multi-document summarization to augment science and technology gap analysis.
• Develop intelligent chatbots and virtual agents to deliver automated, role-based recommendations, career path mapping, and skills gap analysis for enterprise workforces.
• Build NLP-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 ML algorithms (including anomaly detection, predictive modeling, and causal inference) to identify project risks, optimize resource allocation, and forecast financial/technical shifts.
• Collaborate with UI/UX and data engineers to build interactive, role-based dashboards enabling natural language querying and drill-down analytics for leadership decision-making.
• Design automated ingestion and ETL/ELT pipelines using NLP and pattern recognition to transform disparate data formats into a standardized, unified Data Fabric schema.
• Implement robust Explainable AI (XAI) techniques to ensure transparency and trustworthiness of model recommendations.
• Ensure all AI models, APIs, and data storage solutions strictly adhere to DoD security regulations (e.g., NIST, FedRAMP, Risk Management Framework) across multiple classification levels.

Required Qualifications:

• Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related technical field.
• Experience: 5+ years of experience engineering production-grade AI/ML systems (or 3+ years with a Master's/Ph.D.).
• NLP & LLMs: Hands-on experience fine-tuning, evaluating, and deploying open-source and proprietary LLMs, embedding models, and vector databases (e.g., Pinecone, Milvus, Qdrant, FAISS).
• Programming & Frameworks: Proficiency in Python, PyTorch, TensorFlow, LangChain, LlamaIndex, and modern API frameworks (FastAPI, RESTful APIs).
• Data Pipelines & Databases: Experience working with complex structured and unstructured data sources, SQL, NoSQL, graph databases, and data lakes.
• Security Clearance: Must hold an active U.S. Government Secret clearance (or higher) and be eligible to obtain TS/SCI access.

Target Salary Range: $120,000.00 – $160,000.00 (Commensurate with specialized expertise and technical skillset).