Full Stack AI Developer

Dark Wolf SolutionsMcLean, VA
Onsite

About The Position

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.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related technical discipline.
  • Minimum 7 years of proven experience developing and integrating advanced application capabilities within high-availability production environments.
  • Demonstrated self-starter capability, taking a lead role in delivering end-to-end software solutions for mission-critical application development projects.
  • TS/SCI with Full-Scope Polygraph clearance requirement.

Responsibilities

  • 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.
  • 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.
  • 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.
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