Full Stack AI Developer

Darkwolfsolutions

McLean (VA)

On-site

USD 120,000 - 150,000

Full time

14 days+

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Job summary

Darkwolfsolutions is seeking a Full‑Stack AI Developer to join our team in McLean, VA. The role demands expertise in AI/ML engineering, DevOps practices, and strong operational collaboration skills. You will be responsible for scaling AI-driven platforms, architecting CI/CD pipelines, and ensuring system reliability.

The ideal candidate holds a Bachelor’s degree in Computer Science or Engineering and possesses over 7 years of experience. A TS/SCI clearance with Full-Scope Polygraph is required.

Qualifications

  • Minimum 7 years of proven experience developing and integrating advanced application capabilities.
  • Demonstrated self-starter capability in delivering end-to-end software solutions.

Responsibilities

  • Engineer and scale AI-driven platforms for data ingestion and advanced search functionalities.
  • Architect and automate CI/CD pipelines using GitHub or GitLab.
  • Standardize and document configuration processes and system architectures.

Skills

AI/ML Engineering
DevOps & Infrastructure
Operations & Collaboration
Kubernetes
Docker
Python
OpenSearch

Education

Bachelor’s degree in Computer Science, Engineering

Job description

Dark Wolf is a premier data solutions platform purpose built to support our nation’s most critical defense, intelligence, and commercial customers. Our mission is to support complex, data-driven mission critical environments by economically storing, veraciously protecting, and frictionlessly analyzing data using an AI-powered, high-performance software platform. Our team develops and delivers highly secure and scalable software solutions capable of handling large data sets and disparate file types across a variety of classified and unclassified use cases. We are seeking a highly motivated and self-directed professional to fill the role of Full‑Stack AI Developer to support our team in Northern Virginia.

Required Qualifications
  • Education: Bachelor’s degree in Computer Science, Engineering, or a related technical discipline.
  • Experience: Minimum 7 years of proven experience developing and integrating advanced application capabilities within high‑availability production environments.
  • Leadership: Demonstrated self‑starter capability, taking a lead role in delivering end‑to‑end software solutions for mission‑critical application development projects.
Technical Expertise & Responsibilities
  • AI/ML Engineering
    • Engineer and scale AI‑driven platforms to streamline data ingestion, exploration, triage, and advanced search functionalities.
    • Analyze and implement emerging AI model trends, focusing on the fine‑tuning and optimization of Large Language Models (LLMs).
    • Execute rigorous validation protocols to assess AI model accuracy, evaluation metrics, and overall performance effectiveness.
  • DevOps & Infrastructure
    • Architect and automate robust CI/CD pipelines using GitHub or GitLab to streamline deployment workflows.
    • Define, orchestrate, and validate comprehensive build and deployment procedures to ensure system reliability.
    • Deploy and manage containerized applications utilizing Kubernetes and Docker across AWS Cloud and air‑gapped environments.
  • Operations & Collaboration
    • Standardize and document current and future‑state configuration processes, policies, and system architectures.
    • Facilitate proactive communication with cross‑functional teams to align technical delivery with organizational objectives.
    • Leverage OpenSearch and Python to build high‑performance, data‑centric features.
Position Clearance Requirement
  • TS/SCI with Full‑Scope Polygraph
Location

McLean, VA – 5 days per week.

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 and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

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