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Remote Engineer Jobs in Madison, AL (NOW HIRING)

Invariant Corporation

Electrical Engineer

Huntsville, AL · On-site +1

Electrical Engineer 26-044 Invariant Corporation is seeking a talented and motivatedelectrical ... Office environment or remote work. * Vision to read printed materials and/or computer screen ...

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SAIC

Software Systems Engineer Manager

Huntsville, AL · On-site +1

$170K - $202K/yr

Secret Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a Software Systems Engineer Manager to lead a high‑performing team responsible for the design, development, integration ...

ABB

Senior Project Engineer

AL · Remote

$110K - $143K/yr

Remote {#LI-Remote} This role is contributing to the Electrification division in the United States. You will be mainly accountable for: * Leading and supporting commissioning of data centers ...

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All JobsRemote Engineer JobsRemote Engineer Jobs in Madison, AL

Remote Engineer information

See Madison, AL salary details

$34K

$103.8K

$171.6K

How much do remote engineer jobs pay per year?

As of Jul 5, 2026, the average yearly pay for remote engineer in Madison, AL is $103,811.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,400.00 and $135,700.00 per year, depending on experience, location, and employer.

How does a Remote Engineer typically collaborate with team members across different time zones?

Remote Engineers often work with colleagues who are spread across various locations and time zones, which requires strong communication and coordination skills. Collaboration is usually facilitated through tools like Slack, Zoom, or Microsoft Teams, with scheduled meetings arranged to accommodate as many team members as possible. It's common to use shared project management platforms and clear documentation to keep everyone aligned. Flexibility and proactive communication are key to ensuring seamless teamwork and project progress, even when direct overlap in working hours is limited.

What is the difference between Remote Engineer vs Remote Developer?

AspectRemote EngineerRemote Developer
Required CredentialsBachelor's in Engineering, certifications like Cisco, CompTIABachelor's in Computer Science or related, coding certifications
Work EnvironmentDesign, troubleshoot, and maintain systems, often in technical or engineering teamsWrite, test, and deploy software applications, often in development teams
Employer & Industry UsageEngineering firms, tech companies, manufacturingTech companies, startups, software firms
Common Search & Comparison IntentUnderstanding engineering roles in remote settingsComparing software development roles remotely

Remote Engineers focus on designing, maintaining, and troubleshooting technical systems, often requiring engineering-specific credentials. Remote Developers primarily write and develop software applications, with a focus on coding skills. While both roles can be remote and tech-oriented, their core responsibilities and required qualifications differ, catering to different industry needs.

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

To thrive as a Remote Engineer, you need strong technical expertise in software development, problem-solving abilities, and a relevant degree in computer science or engineering. Familiarity with version control systems (like Git), cloud platforms, and remote collaboration tools such as Slack and Jira is typically required. Excellent communication, self-motivation, and time management are crucial soft skills for remote success. These competencies ensure productivity, effective teamwork, and the ability to deliver high-quality solutions from any location.

What is a Remote Engineer?

A Remote Engineer is a professional who designs, develops, tests, and maintains software, systems, or infrastructure while working outside of a traditional office environment, typically from home or another remote location. Remote Engineers use digital tools and communication platforms to collaborate with their teams and manage projects. This role requires strong technical skills, self-motivation, and the ability to work independently. Many technology companies offer remote engineering positions to access a broader talent pool and provide greater flexibility for employees.

How to Get a Remote Job as an Engineer

The primary qualifications for getting a remote job as an engineer are a bachelor's degree in a relevant field and several years of experience in a programming role. Many software engineers spend time in other roles to gain experience before applying for this job, which is a relatively senior programming role. Companies often have specific requests or requirements for software engineers, such as experience with particular types of programming, so diversifying your skills and working with a variety of different systems can help you stand out from other engineers. Fulfilling the responsibilities and duties of a remote software engineer requires communication skills and reliable access to high-speed internet.

More about Remote Engineer jobs
What are the most commonly searched types of Engineer jobs in Madison, AL? The most popular types of Engineer jobs in Madison, AL are:
What are popular job titles related to Remote Engineer jobs in Madison, AL? For Remote Engineer jobs in Madison, AL, the most frequently searched job titles are:
What job categories do people searching Remote Engineer jobs in Madison, AL look for? The top searched job categories for Remote Engineer jobs in Madison, AL are:
What cities near Madison, AL are hiring for Remote Engineer jobs? Cities near Madison, AL with the most Remote Engineer job openings:
Remote Engineer jobs near you
AI/ML Engineer

AI/ML Engineer

Frontier Technology Inc.

Huntsville, AL • On-site, Remote

Full-time

Posted 20 days ago

Job description

Overview
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.
Responsibilities
  • 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.

Education/Qualifications
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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