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
- 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
General Description of Benefits
Preferred Qualifications- 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.
Skills Required
- At least 3 years of overall experience
- Unix/Linux administration experience and knowledge
- Networking and virtual infrastructure management experience and knowledge
- Application development experience and knowledge
- Strong scripting skills in at least one language: Python, Perl, Shell, or Batch
- Cloud engineering experience and knowledge
- Familiarity with AI/ML concepts, including LLMs, RAG, vector search/databases, and model deployment pipelines
- Successfully complete a stringent background investigation
- Obtain the required government security clearance
ECS Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about ECS and has not been reviewed or approved by ECS.
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Healthcare Strength — ECS advertises multiple national-network medical plan options with HSA eligibility alongside dental and vision coverage. Coverage generally begins quickly and is paired with company-paid short- and long-term disability, adding stability to the health package.
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Retirement Support — A 401(k) with Safe Harbor and immediate vesting on employer contributions is emphasized, with an employer match available. Access to an employee stock purchase plan via the parent company provides an additional savings avenue.
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Parental & Family Support — Paid parental leave up to 30 days, adoption assistance, and other family-oriented leaves are highlighted. Feedback suggests these offerings add meaningful value beyond base pay for many roles.
ECS Insights
What We Do
ECS, a segment of ASGN (NYSE: ASGN), delivers advanced solutions and services in cloud, cybersecurity, artificial intelligence (AI), machine learning (ML), application and IT modernization, and science and engineering. The company solves critical, complex challenges for customers across the U.S. public sector, defense, intelligence and commercial industries. ECS maintains partnerships with leading cloud, cybersecurity, and AI/ML providers and holds specialized certifications in their technologies. Headquartered in Fairfax, Virginia, ECS has more than 3,400 employees throughout the U.S. and has been recognized as a Top Workplace by The Washington Post for the last five years.
