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Remote Intelligent Systems Engineering Jobs in Texas

Minimum Qualifications 5 years of experience leading remote/field-based sales engineering ... system of record and data visualization tools. Demonstrate excellent communication skills and ...

Minimum Qualifications 5 years of experience leading remote/field-based sales engineering ... system of record and data visualization tools. Demonstrate excellent communication skills and ...

Minimum Qualifications 5 years of experience leading remote/field-based sales engineering ... system of record and data visualization tools. Demonstrate excellent communication skills and ...

Minimum Qualifications 5 years of experience leading remote/field-based sales engineering ... system of record and data visualization tools. Demonstrate excellent communication skills and ...

Minimum Qualifications 5 years of experience leading remote/field-based sales engineering ... system of record and data visualization tools. Demonstrate excellent communication skills and ...

Minimum Qualifications 5 years of experience leading remote/field-based sales engineering ... system of record and data visualization tools. Demonstrate excellent communication skills and ...

Minimum Qualifications 5 years of experience leading remote/field-based sales engineering ... system of record and data visualization tools. Demonstrate excellent communication skills and ...

Minimum Qualifications 5 years of experience leading remote/field-based sales engineering ... system of record and data visualization tools. Demonstrate excellent communication skills and ...

Minimum Qualifications 5 years of experience leading remote/field-based sales engineering ... system of record and data visualization tools. Demonstrate excellent communication skills and ...

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Remote Intelligent Systems Engineering information

What is the difference between Remote Intelligent Systems Engineering vs Remote Robotics Engineering?

AspectRemote Intelligent Systems EngineeringRemote Robotics Engineering
Required CredentialsBachelor's/Master's in Engineering, Computer Science, or related fields; knowledge of AI, machine learning, and systems integrationBachelor's/Master's in Mechanical, Electrical, or Robotics Engineering; knowledge of control systems, sensors, and automation
Work EnvironmentPrimarily software-focused, designing and developing intelligent systems remotelyCombination of software and hardware tasks, often involving remote collaboration on robotic systems
Industry UsageUsed across AI, automation, and software development companiesCommon in manufacturing, automation, and research institutions

Remote Intelligent Systems Engineering focuses on designing and developing software-driven intelligent systems, while Remote Robotics Engineering emphasizes both hardware and software aspects of robotic systems. Both roles require technical expertise and are prevalent in tech and industrial sectors, but they differ mainly in their focus on software versus hardware components.

What engineers make $300,000 a year?

Senior engineers in specialized fields such as software, systems, or hardware engineering can earn $300,000 or more annually, especially with extensive experience, advanced skills, and leadership roles. High-paying roles often require expertise in areas like artificial intelligence, cybersecurity, or cloud infrastructure, along with relevant certifications and a strong track record of project management.

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

To thrive as a Remote Intelligent Systems Engineer, you need a strong background in systems engineering, programming (such as Python, C++, or Java), and AI/machine learning principles, often supported by a relevant degree in engineering or computer science. Familiarity with tools like MATLAB, TensorFlow, ROS (Robot Operating System), and cloud-based platforms is typically required, along with certifications in AI or systems engineering. Strong problem-solving abilities, communication skills, and self-motivation are essential soft skills for remote collaboration and project success. These qualifications and skills are crucial for designing, implementing, and maintaining complex intelligent systems while effectively collaborating with distributed teams.

Can you work remotely as an AI engineer?

Remote work is common for AI engineers, including those specializing in intelligent systems, as many companies offer flexible or fully remote positions. Success in remote roles often requires strong communication skills, proficiency with collaboration tools, and the ability to work independently on complex projects. However, some positions may require occasional on-site visits or specific hardware access.

What are some common challenges faced by professionals in Remote Intelligent Systems Engineering, and how can they be addressed?

Professionals in Remote Intelligent Systems Engineering often encounter challenges such as coordinating with distributed teams across different time zones, ensuring secure and reliable remote system operations, and maintaining effective communication during troubleshooting or system updates. To address these issues, engineers typically rely on robust collaboration tools, establish clear communication protocols, and schedule regular virtual meetings. Additionally, staying updated on best practices for cybersecurity and remote monitoring helps ensure smooth operation and rapid response to potential issues.

What is Remote Intelligent Systems Engineering?

Remote Intelligent Systems Engineering refers to the design, development, and maintenance of intelligent systems—such as AI-driven automation, robotics, or smart devices—while working from a remote location. Professionals in this field use advanced technologies to create systems that can perceive, learn, and make decisions, often collaborating with team members and clients virtually. This role typically requires expertise in artificial intelligence, machine learning, software engineering, and remote collaboration tools. The flexibility of remote work allows engineers to contribute to complex projects from anywhere, making it a popular choice in today's global tech industry.

What is an intelligent systems engineering salary?

The salary for an intelligent systems engineer typically ranges from $80,000 to $130,000 annually, depending on experience, education, and location. Professionals in this field often have skills in machine learning, robotics, and software development, with higher salaries generally associated with advanced certifications and expertise in AI tools.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, data engineering, or systems engineering can earn $500,000 or more annually, especially with extensive experience, advanced skills, and leadership roles. High compensation often includes base salary, bonuses, and stock options, particularly in technology companies or industries with high demand for technical expertise.
What are popular job titles related to Remote Intelligent Systems Engineering jobs in Texas? For Remote Intelligent Systems Engineering jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Remote Intelligent Systems Engineering jobs in Texas look for? The top searched job categories for Remote Intelligent Systems Engineering jobs in Texas are:
What cities in Texas are hiring for Remote Intelligent Systems Engineering jobs? Cities in Texas with the most Remote Intelligent Systems Engineering job openings:

Senior AI Engineer - Agentic Systems and LLM

Vytwo

Prosper, TX • Remote

$60/hr

Full-time

Posted 28 days ago


Job description

Role: Senior AI Engineer - Agentic Systems and LLM
Client Location: Mason, OH
100% Remote

Job Description:
We are seeking a senior AI engineer to design and build production-grade LLM-powered applications and agentic systems.
This role owns the end-to-end development of intelligent solutionsfrom architecture to deploymentleveraging Python, modern LLM frameworks, and scalable system design.
Required Skills - AI, LLM, Agentic (Python)
Job Duties -
  • Architect and deliver end-to-end LLM-powered applications and agentic workflows using Python Design and implement RAG pipelines over enterprise data using embeddings and vector databases
  • Build multi-step, tool-using agents (planning, execution, memory) using frameworks such as LangChain.
  • Integrate AI systems with APIs, backend services, and cloud platforms
  • Establish evaluation, reliability, and performance strategies (accuracy, latency, cost)
Job Requirements -
  • 2/3 years hand-on experience developing Agentic workflows
  • Strong Python expertise with experience building and deploying production-grade backend systems
  • Hands-on experience developing applications using LLMs, including prompt engineering and orchestration Proven experience with RAG architectures, embeddings, and vector databases
  • Experience with agentic frameworks (e.g., LangChain, LangGraph, AutoGen)
  • Strong system design skills with experience building and scaling cloud-based applications
Desired Skills & Experience -
  • Experience working in healthcare insurance payer space (payer domain knowledge)
  • Ideally someone onsite 3x week but very open to 100% remote for the right candidate One

This is a remote position.