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ECS Tech Inc

AI Full Stack Developer

Posted 18 hours ago
$140K - $200K per year
2-5 years experience
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AI Summary

The developer will build and maintain intelligent, data-driven solutions and microservices while managing automation and CI/CD pipelines. They are responsible for ensuring engineering standards are met and using metrics to drive continuous environment improvements.

Everforth ECS is seeking an AI Full Stack Developer to work remotely.

 

We are looking for a talented AI Full Stack Developer who is passionate about development and engineering with data, cloud, and AI. Strong candidates will have a desire to learn and work with new technologies, while providing high-quality technical support for transformational development efforts.

 

Responsibilities

  1. Value-Driven Solutions: Build quality solutions that solve real-world problems using a high level of machine intelligence.
  2. Process Efficiency: Find intelligent ways to solve problems without a lot of repeat work.
  3. Engineering Standards: Contribute to solutions that are simple, secure, maintainable, and aligned with established engineering practices.
  4. Automation: Build, maintain, and update automation code and/or scripts.
  5. CI/CD Support: Build, maintain, and improve CI/CD automation in support of software, configuration, and infrastructure management.
  6. Architecture: Develop microservices and applications.
  7. Data-Driven Improvement: Find opportunities to use data and metrics to inform decisions and create changes to improve the environment.

Salary Range: $140,000-$200,000

General Description of Benefits

Qualifications
  • 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 and knowledge of:
    • Unix/Linux Administration
    • Networking and virtual infrastructure management
    • Application Development
    • Strong scripting in at least one language (Python, Perl, Shell, Batch)
    • 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.

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