Skip to content

AI Software Engineer

Updated

$120,000–$160,000Chantilly, VA · Herndon, VAChantilly, VA +1On-siteSenior

Architect and implement RAG systems and LLM agents for querying and synthesizing insights from structured/unstructured data.

Find roles that fit you

We find roles for your experience and goals, explain the fit, and help you get introduced to hiring teams.

We never share your profile with employers without your permission.

Try NextmoveCreate an account, then add your resume
View posting at Dark Wolf Solutions

At a glance

Posted base pay

$120K–$160KBelow the median

The work

Builds what the customer runs

Balance

  1. Mostly building
  2. Mixed
  3. Mostly pre-sales or support

Project stages

  1. Pre-sales (not covered)
  2. Proof of concept (not covered)
  3. Implementation
  4. Operations
Coding
Writes production code
Builds for
External customers
Level
Senior
Role
Individual contributor

What they ask for

Experience

  • 5+ yearsengineering production-grade AI/ML systems
  • 3+ yearsengineering production-grade AI/ML systems with a Master's/Ph.D.

Background

  • Software engineering

Tools

  • RAG
  • LLM
  • LangChain
  • LlamaIndex
  • PyTorch
  • TensorFlow
  • FastAPI
  • Pinecone
  • Milvus
  • Qdrant
  • FAISS
  • Docker

Less common in FDE jobs

  • Company stage: Bootstrapped4%
  • Company size: About 201–1,000 people18%
  • On-site37%

Share of US FDE postings that state each fact.

The job description from Dark Wolf Solutions

Posted by Dark Wolf Solutions on

Dark Wolf constructs and deploys data management and analytics solutions for the defense and intelligence communities. We’re proud to boast a world-class engineering team that thrives on rolling up their sleeves to solve your mission’s biggest challenges.

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.

You will directly address critical operational areas including HR workforce analytics, enterprise workflow automation, program management analytics, and automated scientific literature discovery.

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.

Preferred Qualifications

  • Experience deploying AI applications within DoD, Air Force, or Federal agency environments (CAC/PKI integration, IL4/IL5/IL6 cloud 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).

Core Competencies

  • System Integration: Ability to connect AI models with existing legacy software, APIs, and document management systems seamlessly.
  • Problem Solving: Aptitude for turning complex, noisy, multi-dimensional data into intuitive, actionable insights.
  • Communication: Ability to communicate technical AI concepts clearly to non-technical stakeholders, scientific subject matter experts, and executive leadership.


Position Clearance Requirement:

US Citizenship with an active U.S. Government Secret clearance (or higher) and be eligible to obtain TS/SCI access.


Location:
Chantilly/Herndon, VA.

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


Equal Opportunity Employer:

We are proud to be an EEO/AA employer Minorities/Women/Veterans/Disabled and other protected categories. In compliance with federal law, all persons hired will be required to verify identity, confirm US Citizenship, and complete the required employment eligibility verification upon hire.

We are strictly looking for direct, full-time W2 employees. We do not engage with third-party staffing agencies, C2C, or 1099 independent contractors for this role.

View posting at Dark Wolf Solutions

About Dark Wolf Solutions

Builds cyber, DevSecOps, cloud, data/AI, and mission-engineering solutions for U.S. defense, intelligence, and Fortune 500 customers with reusable accelerators.

Bootstrapped · 500–1000 people

Similar jobs

Hiring at Dark Wolf Solutions and want this page changed or removed? Email info@nextmove.md and we take it down.

Pay and conditions

Posted pay
$120,000–$160,000
Pay details

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

Location
Chantilly, VA · Herndon, VA
Work arrangement
On-site
Employment type
Full-time
Experience requirements
  • 5+ years: engineering production-grade AI/ML systems (required)
  • 3+ years: engineering production-grade AI/ML systems with a Master's/Ph.D. (required)