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Remote Intelligent Systems Engineering Jobs in Tennessee

EnableComp

Principal Engineer (REMOTE)

Franklin, TN · On-site +1

... intelligent automation platform to improve financial sustainability for hospitals, health systems ... Lead distributed engineering teams across onshore and offshore location. Requirements and ...

EnableComp

Principal Engineer (REMOTE)

Franklin, TN · Remote

... intelligent automation platform to improve financial sustainability for hospitals, health systems ... Lead distributed engineering teams across onshore and offshore location. Requirements and ...

NxT Level

Engineering Manager

Nashville, TN · Remote

$185K - $195K/yr

Remote Compensation: $185,000 - $195,000 About Our Client Our client is a mission-driven telehealth ... Improve systems and process: advocate for investments that improve architecture, quality, and ...

NxT Level

Engineering Manager

Nashville, TN · Remote

$185K - $195K/yr

Remote Compensation: $185,000 - $195,000 About Our Client Our client is a mission-driven telehealth ... Improve systems and process: advocate for investments that improve architecture, quality, and ...

Hitachi

Applications Engineer II

Nashville, TN · On-site +1

Engineering & Science Job Schedule: Full time Remote: No JR Automation, a Hitachi Group Company ... We provide intelligent automated manufacturing and distribution technology solutions that transform ...

Trimble

Enterprise Support Engineer

Knoxville, TN · On-site +1

$102.10K - $126.90K/yr

... with proactive system stability insights. * Collaborate directly with cloud engineering and ... Hybrid (4 days in office/1 day remote) Travel Requirement : 10% Why You'll Love Working With Us At ...

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Remote Intelligent Systems Engineering information

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.

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 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 are the most commonly searched types of Intelligent Systems Engineering jobs in Tennessee? The most popular types of Intelligent Systems Engineering jobs in Tennessee are:
What are popular job titles related to Remote Intelligent Systems Engineering jobs in Tennessee? For Remote Intelligent Systems Engineering jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Remote Intelligent Systems Engineering jobs in Tennessee look for? The top searched job categories for Remote Intelligent Systems Engineering jobs in Tennessee are:
What cities in Tennessee are hiring for Remote Intelligent Systems Engineering jobs? Cities in Tennessee with the most Remote Intelligent Systems Engineering job openings:
Remote Intelligent Systems Engineering jobs near you
Principal Engineer (REMOTE)

Principal Engineer (REMOTE)

EnableComp

Franklin, TN • On-site, Remote

Full-time

This job post has expired today. Applications are no longer accepted.

EnableComp rating

8.8

Company rating: 8.8 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

26th of 424 rated business services

Job description

EnableComp provides Specialty Revenue Cycle Management solutions for healthcare organizations, leveraging over 24 years of industry-leading expertise and its unified E360 RCM™ intelligent automation platform to improve financial sustainability for hospitals, health systems, and ambulatory surgery centers (ASCs) nationwide. Powered by proprietary algorithms, iterative intelligence from 10M+ processed claims, and expert human-in-the-loop integration, EnableComp provides solutions across the revenue lifecycle for Veterans Administration, Workers' Compensation, Motor Vehicle Accidents, and Out-of-State Medicaid claims as well as denials for all payer classes. By partnering with clients to supercharge the reimbursement process, EnableComp removes the burden of payment from patients and provider organizations while enabling accelerated cash, higher and more accurate yield, clean AR management, reduced denials, and data-rich performance management. EnableComp is a multi-year recipient the Top Workplaces award and was recognized as Black Book's #1 Specialty Revenue Cycle Management Solution provider in 2024 and is among the top one percent of companies to make the Inc. 5000 list of the fastest-growing private companies in the United States for the last eleven years.
Position Summary
The Principal Engineer will be spearheading the development of a cutting-edge Agentic AI platform that leverages our healthcare RCM data lakehouse to revolutionize revenue cycle workflows through autonomous, intelligent agents.
Key Responsibilities
  • Architect and build a scalable Agentic AI framework specifically for RCM workflows.
  • Design autonomous agents capable of handling complex revenue cycle tasks (denial management, contract analysis, eligibility verification).
  • Establish orchestration patterns for agent collaboration across different RCM business functions.
  • Implement robust guardrails and validation mechanisms for AI decision-making in financial contexts.
  • Build reusable components that accelerate agent development for new RCM use cases.
  • Create specialized tools for training and fine-tuning AI models on healthcare financial data.
  • Lead distributed engineering teams across onshore and offshore location.

Requirements and Qualifications
  • Proven track record building production AI systems handling financial transactions.
  • Deep expertise in LLM orchestration frameworks and agent architectures.
  • Experience applying AI to structured financial workflows with explicit business rules.
  • History of scaling complex software platforms across multiple business lines.
  • Strong background leading distributed development teams.
  • Success implementing systems that integrate with healthcare financial platform.
  • Advanced knowledge of LLM orchestration and RAG implementations.
  • Experience with agent frameworks (AutoGPT, LangChain, etc.)
  • Expertise in prompt engineering for specialized domains.
  • Strong software architecture skills focused on scalability and modularity.
  • Ability to build systems that maintain context across multi-step workflows.
  • Understanding of healthcare data security requirements.

Special Considerations and Prerequisites
  • 7-10 years' experience full stack development and 2 years' experience developing Agentic AI.
  • Practices and adheres to EnableComp's Core Values, Vision and Mission.
  • Exceptional technical leadership driving innovation in emerging technologies
  • Ability to translate abstract AI capabilities into concrete RCM solutions
  • Experience managing mixed onshore/offshore development teams
  • Track record of delivering complex platforms that scale across business units
  • Skill in communicating technical concepts to non-technical stakeholders

EnableComp is an Equal Opportunity Employer M/F/D/V. All applicants will be considered for this position based upon experience and knowledge, without regard to race, color, religion, national origin, sexual orientation, ancestry, marital, disabled or veteran status. We are committed to creating and maintaining a workforce environment that is free from any form of discrimination or harassment.
EnableComp recruits, develops and retains the industry's top talent. As the employer of choice in the complex claims industry, EnableComp takes pride in our continuous commitment to building and maintaining a culture centered around fostering the professional growth and development of our people. We believe that investing in our employees is the key to our success, and we are dedicated to providing them with the tools, resources, and support they need to thrive and grow their career here. At EnableComp, we are committed to living up to our core values each and every day, and we believe that this commitment is what sets us apart from other companies. If you are looking for a company that values its employees and is dedicated to helping them achieve their full potential, then EnableComp is the place for you.
Don't just take our word for it! Hear what our people are saying:
"I love my job because everyone shares the same vision and is determined and dedicated. People care about you as a person and your professional growth. There is a genuine spirit of cooperation and shared goals all revolving around helping each other." - Revenue Specialist
"I enjoy working for EnableComp because of the Core Values we believe in. EnableComp stands true to these values from empowering employees to ecstatic clients. This company is family oriented and flexible, along with understanding the balance of work, life, and fun." - Supervisor, Operations
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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