AI Full Stack Developer

Everforth Ecs
United States
18 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
$140,000.0 - $200,000.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Bash Shell Cloud Engineering Databases Continuous Integration Perl (Programming Language) Python (Programming Language) Machine Learning Search Technologies Software Engineering VMware Infrastructure Scripting
+4 more
Large Language Models Generative AI Data Analytics Microservices

Job description

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

  • Value-Driven Solutions: Build quality solutions that solve real-world problems using a high level of machine intelligence.

  • Process Efficiency: Find intelligent ways to solve problems without a lot of repeat work.

  • Engineering Standards: Contribute to solutions that are simple, secure, maintainable, and aligned with established engineering practices.

  • Automation: Build, maintain, and update automation code and/or scripts.

  • CI/CD Support: Build, maintain, and improve CI/CD automation in support of software, configuration, and infrastructure management.

  • Architecture: Develop microservices and applications.

  • 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

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 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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