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Remote Systems Engineer Jobs in Decatur, AL (NOW HIRING)

Ultra

Associate Software Engineer

Huntsville, AL · On-site +1

From engineering systems that save lives to leading programs that change the battlefield-find your ... Austin, TX, Huntsville, AL, or Remote. Must be willing to travel up to 25% of the year to support ...

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Moonshot Aerospace

GN&C Controls Engineer (Remote)

Madison, AL · Remote

$85K - $110K/yr

Moonshot Aerospace is seeking a GN&C Controls Engineer to support spacecraft control system design and analysis for government and commercial customers. Initial assignment will support NASA Marshall ...

ABB

Senior Project Engineer

AL · Remote

$110K - $143K/yr

The work model for this role is: Remote {#LI-Remote} This role is contributing to the ... Strong knowledge of power distribution systems, protection & control, and critical power ...

MORI Associates

Thermal Design Engineer

Huntsville, AL · Remote

$130K - $179K/yr

Design Engineer -- Passive Thermal Systems - 12+ months Mid-Level | Aerospace & Defense *This job is fully remote from anywhere in the United States* Duration of this position is expected to be at ...

Mori Associates

Thermal Design Engineer

Huntsville, AL · On-site +1

$130K - $179K/yr

Design Engineer - Passive Thermal Systems - 12+ months Mid-Level | Aerospace & Defense *This job is fully remote from anywhere in the United States* Duration of this position is expected to be at ...

SAIC

OpenGL Developer

Huntsville, AL · On-site +1

$48.25 - $65/hr

None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a Open GL Developer to join our team in Huntsville, AL. The Network, System Integration and Test Environment (NSITE) is a ...

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All JobsSystems Engineer JobsRemote Systems Engineer JobsRemote Systems Engineer Jobs in Decatur, AL

Remote Systems Engineer information

See Decatur, AL salary details

$47.8K

$113.8K

$149.4K

How much do remote systems engineer jobs pay per year?

As of Jul 12, 2026, the average yearly pay for remote systems engineer in Decatur, AL is $113,777.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,600.00 and $140,400.00 per year, depending on experience, location, and employer.

What is a Remote Systems Engineer?

A Remote Systems Engineer is an IT professional who designs, implements, manages, and maintains computer systems and networks for organizations while working from a remote location. They ensure that systems are reliable, secure, and perform optimally, often troubleshooting issues and deploying updates without being physically present onsite. Remote Systems Engineers typically use remote access tools to monitor systems, collaborate with teams, and provide technical support. Their work is essential for companies with distributed workforces or cloud-based infrastructure.

What Does a Remote Systems Engineer Do?

The job of a remote systems engineer is to develop, test, and maintain a computer network system for a company. Your duties include implementing updates, handling technical issues (including connectivity issues and VPN setup), performing system administration tasks, documenting changes, preparing reports, and developing new infrastructure as needed. Your responsibilities as a remote systems engineer are to ensure the software system and network connectivity meet the needs of the business environment and provide user support. This is a work from home position that involves coordinating with IT and management.

How does a Remote Systems Engineer typically collaborate with on-site IT teams and other departments?

As a Remote Systems Engineer, you will frequently coordinate with on-site IT staff and cross-functional teams through virtual meetings, project management tools, and shared documentation. Effective communication and clear documentation are crucial, as you may not be physically present to troubleshoot or implement solutions. You can expect to rely heavily on remote access tools and cloud-based platforms to monitor, maintain, and update systems. Building strong relationships with team members and setting clear expectations helps ensure seamless collaboration and project success, even from a distance.

What are the key skills and qualifications needed to thrive as a Remote Systems Engineer, and why are they important?

To thrive as a Remote Systems Engineer, you need a strong background in computer science, systems administration, and network management, often supported by a relevant degree or certifications such as CompTIA Network+ or Microsoft Certified: Azure Administrator. Proficiency with cloud platforms (e.g., AWS, Azure), automation tools (like Ansible or Puppet), and monitoring systems is typically required. Excellent problem-solving, communication, and time-management skills help in collaborating with distributed teams and resolving issues independently. These skills and qualities are crucial for maintaining reliable system operations and ensuring seamless remote support in a distributed work environment.
More about Remote Systems Engineer jobs
What are the most commonly searched types of Systems Engineer jobs in Decatur, AL? The most popular types of Systems Engineer jobs in Decatur, AL are:
What are popular job titles related to Remote Systems Engineer jobs in Decatur, AL? For Remote Systems Engineer jobs in Decatur, AL, the most frequently searched job titles are:
What cities near Decatur, AL are hiring for Remote Systems Engineer jobs? Cities near Decatur, AL with the most Remote Systems Engineer job openings:
Remote Systems Engineer jobs near you
AI/ML Engineer

AI/ML Engineer

Frontier Technology Inc.

Huntsville, AL • Remote

Full-time

Re-posted 27 days ago

Job description

FTI Defense is seeking a hands-on AI/ML Engineer to design, build, and deploy advanced machine learning solutions supporting defense and national security missions. This role focuses on execution in oversight, ideal for an engineer who thrives in the code, enjoys building end-to-end pipelines, and takes pride in seeing their work directly impact operational systems.

FTI Defense delivers mission-focused solutions to the Department of Defense/Depratment of War (DoD/DoW) and Intelligence Community (IC) through advanced engineering, digital transformation, and program execution expertise. We help our customers solve complex challenges and achieve mission success by integrating people, process, and technology.


  • Design, develop, and deploy AI/ML models and pipelines that meet mission and performance objectives.
  • Build, train, and fine-tune models using frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, and LangChain.
  • Develop and operationalize MLOps pipelines (MLflow, Kubeflow, DVC, or custom training/inference orchestration).
  • Implement and optimize vector databases (Milvus, Pinecone, Chroma, FAISS) and retrieval architectures (RAG, graph, hybrid).
  • Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and inference services.
  • Experiment with fine-tuning and optimization of LLMs and task-specific models (LoRA, QLoRA, PEFT).
  • Contribute to agent-based applications using frameworks like LangGraph, AutoGen, CrewAI, or DSPy.
  • Integrate AI services into real-world systems via APIs, event-driven workflows, or UI copilots.
  • Collaborate with data engineers, software developers, and mission analysts to ensure AI models are production-ready and aligned with customer needs.
  • Participate in peer reviews, contribute to shared repositories, and document models and experiments for reproducibility.

Minimum Requirements:

  • Must be a U.S. citizen and be willing to obtain and maintain a security clearance, as needed.
  • 6-10+ years of professional experience developing and deploying AI/ML solutions in production environments.
  • Minimum of 3 years' professional experience within the Department of Defense/Department of War (DoD/DoW) AI assurance, security, and deployment environments.
  • Strong Python development skills with hands-on experience building AI/ML solutions.
  • Direct experience with ML frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, or LangChain.
  • Proven ability to build and deploy MLOps pipelines using MLflow, Kubeflow, DVC, or equivalent.
  • Working knowledge of vector databases (Milvus, Pinecone, Chroma, FAISS) and retrieval-based architectures (RAG, hybrid, graph).
  • Professional experience fine-tuning and evaluating LLMs or smaller task-specific models using LoRA, QLoRA, or PEFT.
  • Professional experience integrating AI capabilities into production systems or mission applications.

 Preferred Qualifications:

  • Familiarity with agentic frameworks (LangGraph, AutoGen, CrewAI, DSPy) and multi-agent reasoning.
  • Understanding of prompt engineering, retrieval quality, and grounding methods.
  • Exposure to GPU-based or edge inference environments.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related technical field.
  • Active Secret clearance preferred; ability to obtain one is required.

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