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Remote Design Engineer Jobs in Baton Rouge, LA (NOW HIRING)

Quora

AI Automation Engineer -Remote

Baton Rouge, LA · On-site +1

$202.38K - $234.20K/yr

About the Team and Role: We're hiring our first AI Automation Engineer to lead how we apply AI ... For Toronto and Vancouver based applicants, the salary range is $202,383 - $234,201 CAD + equity ...

Acxiom

Expert Solution Engineer

Baton Rouge, LA · On-site +1

Design feasible, best-practice-aligned solutions that fit Acxiom and partner capabilities ... This position is not located in the aforementioned locations but applications for remote work may ...

DataAnnotation

Trust & Safety Engineer

Baton Rouge, LA · Remote

$40 - $75/hr

Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand ... Design and solve security-focused technical problems used to train AI systems. * Write clear ...

DataAnnotation

Red Team Engineer

Baton Rouge, LA · Remote

$40 - $75/hr

Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand ... Design and solve security-focused technical problems used to train AI systems. * Write clear ...

DataAnnotation

Cloud Security Engineer

Baton Rouge, LA · Remote

$40 - $75/hr

Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand ... Design and solve security-focused technical problems used to train AI systems. * Write clear ...

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How much do remote design engineer jobs pay per hour?

As of May 30, 2026, the average hourly pay for remote design engineer in Baton Rouge, LA is $48.67, according to ZipRecruiter salary data. Most workers in this role earn between $37.64 and $59.33 per hour, depending on experience, location, and employer.

What Does a Remote Design Engineer Do?

Remote design engineers work from home or a remote office, and depending on their specialty, may have a wide range of duties and responsibilities. For instance, as an electrical engineer, you use specialized tools and software to design and plan electrical systems, ranging from computer hardware to wide power grids. As an automotive design engineer, you translate ideas and consumer needs into usable products, or may even work on a team to design an entire vehicle line. As an industrial design engineer, you may assist in the development of consumer products, ranging from everything from kitchen gadgets to smartphones to modern furniture. In all cases, you work with a team of other designers and engineers, each contributing expertise to create a final product.

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

To thrive as a Remote Design Engineer, you need strong expertise in engineering principles, CAD software proficiency, and a relevant engineering degree. Familiarity with tools like AutoCAD, SolidWorks, and collaborative project management platforms is typically required, along with certifications such as Professional Engineer (PE) where applicable. Exceptional communication, problem-solving, and self-motivation are essential soft skills for remote collaboration and project delivery. These skills and qualities are crucial for delivering accurate designs, meeting deadlines, and ensuring seamless teamwork in a remote environment.

How do Remote Design Engineers effectively collaborate with teams across different time zones?

Remote Design Engineers often work with colleagues, clients, and stakeholders from various locations, making clear communication and effective collaboration essential. They typically use digital tools like project management platforms, video conferencing, and shared design software to synchronize work and provide updates. To overcome time zone differences, teams may schedule regular check-ins during overlapping hours and establish clear documentation practices so everyone stays informed. Being proactive in communication and flexible with meeting times can greatly improve teamwork and project success.

What is a Remote Design Engineer?

A Remote Design Engineer is a professional who creates and develops product designs, systems, or structures while working from a location outside of a traditional office, often from home. They use computer-aided design (CAD) software and collaborate with teams via digital communication tools. Remote Design Engineers can work in various fields such as mechanical, electrical, or civil engineering, and are responsible for turning ideas into detailed technical plans. This role requires strong communication skills, technical expertise, and the ability to work independently. By working remotely, they can contribute to projects from virtually anywhere in the world.
More about Remote Design Engineer jobs
What are the most commonly searched types of Design Engineer jobs in Baton Rouge, LA? The most popular types of Design Engineer jobs in Baton Rouge, LA are:
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What job categories do people searching Remote Design Engineer jobs in Baton Rouge, LA look for? The top searched job categories for Remote Design Engineer jobs in Baton Rouge, LA are:
What cities near Baton Rouge, LA are hiring for Remote Design Engineer jobs? Cities near Baton Rouge, LA with the most Remote Design Engineer job openings:
Remote Design Engineer jobs near you
AI/ML Engineer

AI/ML Engineer

Frontier Technology Inc.

Baton Rouge, LA • On-site, Remote

$140K - $220K/yr

Full-time

Posted 9 days ago

Job description

Overview
Frontier Technology Inc. (FTI) 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 delivers mission-focused solutions to the Department of Defense/Department 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 secruity 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.

For this role, the compensation range is $140k-$220k.
*Note: Starting pay will be based on a number of factors and commensurate with the candidate's residence location, qualifications & experience.
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