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Applications Engineer Remote Jobs in Roanoke, TX

ICF

Senior Transmission Line Engineer - REMOTE

Dallas, TX · Remote

$103K - $142K/yr

Senior Transmission Line Engineer Location: Remote US Ready to make a difference? We are seeking a ... Applications Please note that this application must be submitted directly by the applicant for ...

Delan Associates, Inc

AI Lead Engineer (Remote)

Dallas, TX · Remote

$104K - $138K/yr

AI Lead Engineer Dallas, TX (REMOTE) 15+ Years Must-Have Skills * Artificial Intelligence (AI) & Machine Learning (ML) * Deep Learning * Generative AI (GenAI) * Large Language Models (LLMs) * Prompt ...

ICF

Lead Substation Physical Engineer - REMOTE

Dallas, TX · Remote

$101K - $133K/yr

Remote US Ready to make a difference? ICF is seeking an experienced Substation Physical Engineer to ... Applications Please note that this application must be submitted directly by the applicant for ...

YO AI Labs

GPU Programmer - Remote

Dallas, TX · Remote

$60 - $85/hr

Remote Job Overview We are seeking experienced GPU Programmers / Software Engineers to design and optimize GPU-based tasks for AI and LLM applications. You will apply your expertise in GPU ...

Stryker

Senior Lead Data Engineer (Remote)

Dallas, TX · On-site +1

Remote As a Senior Lead, Data Engineering, you will serve as a technical leader who helps shape the ... Support the development of internal data products, APIs, and user-facing applications that simplify ...

Arrivia

Senior Software Engineer - Remote

Dallas, TX · Remote

$121K - $159K/yr

... web applications and services. * Expert proficiency using AI coding agents such as Claude Code ... Depth of engineering knowledge matters most. Benefits & Perks * Unlimited PTO * Exclusive employee ...

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All JobsApplications Engineer JobsApplications Engineer Remote JobsApplications Engineer Remote Jobs in Roanoke, TX

Applications Engineer Remote information

See Roanoke, TX salary details

$48.5K

$106.3K

$146K

How much do applications engineer remote jobs pay per year?

As of Sep 6, 2026, the average yearly pay for applications engineer remote in Roanoke, TX is $106,299.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,700.00 and $129,600.00 per year, depending on experience, location, and employer.

What does an applications engineer do when working remotely?

A remote Applications Engineer designs, develops, and supports software or hardware solutions tailored to customer needs, all from a remote location. They collaborate with clients, sales teams, and development teams through virtual meetings and digital tools to ensure products are integrated and optimized for specific applications. Their responsibilities often include troubleshooting technical issues, providing product demonstrations, and assisting with implementation and customization. Working remotely allows them to serve clients across various regions while maintaining effective communication and support.

What are the key skills and qualifications needed to thrive as an applications engineer remote?

To thrive as a remote Applications Engineer, you need a solid background in engineering principles, programming, and problem-solving, often supported by a degree in engineering or computer science. Familiarity with CAD software, simulation tools, and customer relationship management (CRM) systems is typically required, along with relevant certifications. Excellent communication, self-motivation, and time management are standout soft skills, especially in a remote setting. These skills and qualities are crucial to effectively deliver technical solutions, support clients, and collaborate with teams across different locations.

How does an applications engineer remote typically collaborate with product development and customer support teams?

As a remote Applications Engineer, collaboration with product development and customer support is often achieved through regular virtual meetings, shared project management platforms, and real-time communication tools. You'll frequently translate customer requirements into technical solutions, working closely with development teams to relay feedback and troubleshoot issues. Proactive communication and clear documentation are essential for successful cross-functional teamwork in a remote setting. This structure allows you to contribute meaningfully to product improvements while maintaining strong relationships with both internal teams and clients.

What is the difference between Applications Engineer Remote vs Applications Engineer on-site?

AspectApplications Engineer RemoteApplications Engineer on-site
Work EnvironmentPerforms duties remotely, often from home, with virtual collaborationWorks at a company location, interacting face-to-face with teams and clients
Required CredentialsTypically requires engineering degree and technical certifications, similar to on-site rolesSame credentials as remote roles, with emphasis on communication skills for in-person interactions
Industry UsageCommon in tech, software, and engineering firms offering remote optionsTraditional in manufacturing, hardware, and engineering industries
Work FlexibilityHigh flexibility in location and schedule, depending on employer policiesLess flexible, with fixed working hours and location

Applications Engineer Remote and on-site roles share similar technical requirements and industry usage. The main difference lies in the work environment and flexibility, with remote positions offering greater location independence while on-site roles involve physical presence at the workplace.

What job categories do people searching Applications Engineer Remote jobs in Roanoke, TX look for?

The top searched job categories for Applications Engineer Remote jobs in Roanoke, TX are:

What cities near Roanoke, TX are hiring for Applications Engineer Remote jobs?

Cities near Roanoke, TX with the most Applications Engineer Remote job openings:

Applications Engineer Remote jobs near you
Infographic showing various Applications Engineer Remote job openings in Roanoke, TX as of August 2026, with employment types broken down into 84% Full Time, and 16% Contract. Highlights an 100% Remote job distribution, with an average salary of $106,299 per year, or $51.1 per hour.

Senior AI Application Engineer (Remote Opportunity)

VetsEZ

Dallas, TX • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 15 days ago

Job description

VetsEZ is seeking a Senior AI Application Engineer to design, develop, and implement enterprise Artificial Intelligence (AI) solutions supporting the Department of Veterans Affairs (VA). The initial assignment will support the Joint Longitudinal Viewer (JLV) AI Summarization initiative, delivering a secure, governed AI-assisted search and summarization capability within an approved test environment utilizing Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), and Amazon Bedrock, while supporting clinical evaluation and future production readiness.
Working closely with AI Solution Architects, Product Owners, cybersecurity teams, DevSecOps engineers, and clinical stakeholders, this individual will develop secure, scalable, and maintainable AI-powered applications that integrate seamlessly with existing enterprise healthcare systems while ensuring compliance with Federal security, privacy, and AI governance requirements.
Responsibilities:
  • Design, develop, and implement enterprise AI applications utilizing Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG).
  • Develop AI-assisted search, summarization, and question-answering capabilities using Amazon Bedrock.
  • Build reusable AI services supporting prompt orchestration, document retrieval, and response generation.
  • Implement prompt engineering and source-grounding strategies to improve AI accuracy, consistency, traceability, and clinical relevance, including source links that support human verification.
  • Optimize AI performance while balancing response quality, latency, and operational cost.
  • Design and develop secure, scalable cloud-native applications utilizing modern software engineering practices.
  • Develop RESTful APIs and backend services supporting AI capabilities and enterprise integrations.
  • Implement approved document retrieval, vector search, and semantic search capabilities within the selected patient context and CHSD document set.
  • Develop automated unit, integration, and functional tests and repeatable AI evaluations for groundedness, retrieval quality, and clinical relevance supporting AI-enabled applications.
  • Troubleshoot software defects, optimize application performance, and support activities within the approved test environment and for future production readiness.
  • Integrate AI capabilities into existing enterprise healthcare applications and clinical workflows.
  • Develop secure interfaces utilizing REST APIs and modern integration patterns.
  • Support interoperability utilizing healthcare standards including FHIR, HL7, and CCD.
  • Collaborate with Solution Architects and engineering teams to implement scalable and maintainable application designs.
  • Participate in code reviews and promote software engineering best practices across the development team.
  • Develop secure software in accordance with Federal cybersecurity and privacy requirements, including approved data-retention and purge controls.
  • Support CI/CD pipelines, automated deployments, and cloud-native operational practices.
  • Implement logging, monitoring, audit capabilities, and operational telemetry, including model and prompt version tracking, usage and cost monitoring, and controls to detect model, prompt, retrieval, and data drift.
  • Support application security scanning, vulnerability remediation, and activities within the approved test environment and for future production readiness.
  • Incorporate Responsible AI, Human-in-the-Loop (HITL), and AI governance principles into application development.
  • Collaborate with architects, product owners, clinicians, cybersecurity teams, and Government stakeholders throughout the software development lifecycle.
  • Participate in Agile ceremonies including Sprint Planning, backlog refinement, Sprint Reviews, and Retrospectives.
  • Contribute to technical documentation, implementation guides, and software design artifacts.
  • Present technical solutions and implementation approaches to project leadership and stakeholders.

Requirements:
  • Bachelor's degree in Computer Science, Software Engineering, Information Systems, Artificial Intelligence, Data Science, or a related technical field, or equivalent experience.
  • 8+ years developing enterprise software applications.
  • 5+ years developing cloud-native applications utilizing AWS or comparable cloud platforms.
  • Demonstrated experience developing Artificial Intelligence, Machine Learning, or Generative AI solutions.
  • Experience implementing applications utilizing Amazon Bedrock or similar enterprise AI platforms.
  • Experience developing enterprise REST APIs and cloud-native application services.
  • Amazon Bedrock and AWS cloud services
  • Large Language Models (LLMs)
  • Retrieval-Augmented Generation (RAG)
  • Prompt engineering and AI evaluation
  • Python, Java, or C#
  • REST APIs and JSON
  • Vector databases, embeddings, and semantic search
  • Git, CI/CD, and DevSecOps
  • Healthcare interoperability (FHIR, HL7, CCD)

Additional Qualifications:
  • Strong understanding of modern software engineering principles and cloud-native application development.
  • Experience developing scalable, secure, and maintainable enterprise applications.
  • Excellent analytical, troubleshooting, and problem-solving skills.
  • Strong written and verbal communication skills with the ability to collaborate across multidisciplinary engineering teams.
  • Ability to obtain and maintain a Government Public Trust clearance.
  • Experience supporting the Department of Veterans Affairs (VA), Department of Defense (DoD), or other Federal healthcare organizations.
  • Experience developing AI-enabled clinical workflow, information-retrieval, or clinician-support applications requiring human validation.
  • Experience implementing vector search, embeddings, semantic search, and prompt orchestration.
  • Knowledge of Responsible AI, NIST AI Risk Management Framework (AI RMF), NIST SP 800-53, FISMA, and FedRAMP.
  • Familiarity with clinical terminology standards including SNOMED CT, ICD-10, RxNorm, and LOINC.
  • AWS Developer, AWS AI, Machine Learning, or other AWS cloud certifications are highly desirable.

Security Clearance Requirements
  • U.S. Citizenship is required.
  • All selected candidates must successfully complete a background check.
  • Ability to obtain and maintain a Government/Public Trust clearance, including required fingerprinting, when required for the position.

Benefits:
  • Medical, Dental, and Vision Insurance
  • 401(k) with Employer Match
  • Paid Time Off plus Federal Holidays
  • Corporate Laptop
  • Professional Development and Training Opportunities
  • Remote Opportunity

Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status.
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