AI Full Stack Developer

ECS Tech Inc•Work from home, Virginia
•$140,000 - $200,000•Remote

About The Position

Everforth ECS is seeking a remote AI Full Stack Developer passionate about development and engineering with data, cloud, and AI. The role involves providing high-quality technical support for transformational development efforts and using machine intelligence to build solutions to real-world problems. Successful candidates should be eager to learn and work with new technologies. The developer will contribute to engineering solutions that are simple, secure, maintainable, and aligned with established practices; build and maintain automation and CI/CD capabilities; develop microservices and applications; and use data and metrics to identify and implement improvements.

Requirements

  • Bachelor’s degree in engineering or a technical discipline, or an associate's degree with equivalent years of experience.
  • At least 3 years of overall experience.
  • Knowledge of Unix/Linux administration.
  • Knowledge of networking and virtual infrastructure management.
  • Knowledge of application development.
  • Strong scripting skills in at least one language: Python, Perl, Shell, or Batch.
  • Knowledge of cloud engineering.
  • Familiarity with AI/ML concepts, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), vector search/databases, and model deployment pipelines.
  • Must successfully complete a stringent Background Investigation and obtain the required Government Security Clearance.

Responsibilities

  • Build quality solutions that solve real-world problems using a high level of machine intelligence.
  • Find intelligent ways to solve problems while minimizing repeat work.
  • Contribute to solutions that are simple, secure, maintainable, and aligned with established engineering practices.
  • Build, maintain, and update automation code and/or scripts.
  • Build, maintain, and improve CI/CD automation supporting software, configuration, and infrastructure management.
  • Develop microservices and applications.
  • Identify opportunities to use data and metrics to inform decisions and improve the environment.

Benefits

  • General Description of Benefits (link provided in the posting).
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