# AI Software Engineer

**Company**: Dark Wolf
**Location**: Chantilly, VA
**Experience**: senior
**Job type**: full-time
**Salary**: $120,000.00 – $160,000.00
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/darkwolfsolutions/jobs/7886757003?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_f282b33a-fc9

## Description

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).

## Skills

### Required
- Python
- PyTorch
- TensorFlow
- LangChain
- LlamaIndex
- FastAPI
- RESTful APIs
- NLP
- LLMs
- Pinecone
- Milvus
- Qdrant
- FAISS
- SQL
- NoSQL
- graph databases
- data lakes

### Nice to have
- Experience deploying AI applications within DoD, Air Force, or Federal agency environments
- Proven track record building XAI (Explainable AI) architectures for leadership decision support
- Background in developing AI solutions for HR systems, workflow management software, or scientific/academic literature indexing
- Experience with cloud platforms (AWS GovCloud, Azure Government) and containerized deployment technologies (Docker, Kubernetes)

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/darkwolfsolutions/jobs/7886757003?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)