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Entry Level Remote Process Engineer Jobs in Texas

TQA

... we're looking for future RPA Developers to join our growing talent pool. If you're curious ... Department Delivery Locations US Remote status Fully Remote

MWResource, Inc.

Power System Engineer

Taylor, TX · Remote

$42.30 - $59.15/hr

Power System Engineer REMOTE - CANDIDATE MUST LIVE AND WORK FROM THE UNITED STATES Taylor, TX ... Identifies process improvements for interconnection study workflows, data management, and ...

MWResource, Inc.

Power System Engineer

Taylor, TX · On-site +1

$42.30 - $59.15/hr

Power System Engineer REMOTE - CANDIDATE MUST LIVE AND WORK FROM THE UNITED STATES Taylor, TX ... Identifies process improvements for interconnection study workflows, data management, and ...

Sonoma Consulting Inc.

Remote DevOps Engineer

Houston, TX · Remote

$50.25 - $69/hr

... process around the speed and quality of the resources we deliver. The Sonoma team prides itself on ... Travel: onsite in Houston for week 1 - remaining weeks would be remote. Qualifications Requirements ...

Lockheed Martin

Quality Engineer- Level 2

Fort Worth, TX · On-site +1

$68K - $89K/yr

Work within a team to design business processes, define system requirements, and create model-based ... From onsite to remote, we offer flexible work schedules to comprehensive benefits investing in your ...

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Entry Level Remote Process Engineer information

What is the difference between Entry Level Remote Process Engineer vs Entry Level Remote Manufacturing Engineer?

AspectEntry Level Remote Process EngineerEntry Level Remote Manufacturing Engineer
Required CredentialsBachelor's in Engineering, Chemical, Mechanical, or IndustrialBachelor's in Manufacturing, Industrial, or Mechanical Engineering
Work EnvironmentProcess optimization, data analysis, remote collaborationProduction line support, equipment troubleshooting, remote or on-site
Industry UsageManufacturing, chemical, food processingAutomotive, electronics, consumer goods manufacturing

Both roles often require similar educational backgrounds and certifications. The main difference lies in focus: Process Engineers concentrate on optimizing processes and workflows remotely, while Manufacturing Engineers focus on production systems and equipment, sometimes on-site. Understanding these distinctions helps job seekers target the right roles based on their skills and career goals.

What types of projects and team collaborations can an entry level remote process engineer expect in their first year?

As an entry level remote process engineer, you will typically work on a variety of projects such as process optimization, data analysis, and documentation under the guidance of senior engineers. You'll often collaborate virtually with multidisciplinary teams, including production, quality, and IT professionals, using digital tools to communicate and share project updates. Expect to participate in regular team meetings, contribute to troubleshooting sessions, and assist in implementing improvements to existing processes. This collaborative environment provides valuable exposure to different facets of engineering projects and helps build foundational skills for career advancement.

What does an Entry Level Remote Process Engineer do?

An Entry Level Remote Process Engineer assists in designing, analyzing, and optimizing processes within industries such as manufacturing, chemical, or technology, all while working remotely. They typically support senior engineers by collecting and analyzing data, creating process maps, and suggesting improvements to enhance efficiency and product quality. Communication and collaboration are often conducted through digital tools, making it essential to be comfortable with virtual teamwork. This role is ideal for recent graduates or those new to the field, offering foundational experience in process engineering from a remote setting.

What are the key skills and qualifications needed to thrive as an Entry Level Remote Process Engineer, and why are they important?

To thrive as an Entry Level Remote Process Engineer, you need a background in chemical, mechanical, or industrial engineering, typically supported by a relevant bachelor's degree. Familiarity with process simulation software (such as Aspen HYSYS or AutoCAD), data analysis tools, and remote collaboration platforms is important. Strong problem-solving, attention to detail, and effective communication skills set candidates apart when working with distributed teams. These skills ensure efficient process optimization, accurate technical documentation, and seamless teamwork in a remote engineering environment.
What cities in Texas are hiring for Entry Level Remote Process Engineer jobs? Cities in Texas with the most Entry Level Remote Process Engineer job openings:
Entry Level Remote Process Engineer jobs near you
Applied AI Product Engineer (Remote Opportunity)

Applied AI Product Engineer (Remote Opportunity)

VetsEZ

Austin, TX • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 27 days ago

Job description

EZLabs, the AI innovation division of VetsEZ, is seeking multiple Applied AI Product Engineers to join our growing team in a 100% remote role focused on building intelligent healthcare technology platforms and next-generation AI-driven solutions. At EZ Labs, we are transforming healthcare delivery through technology, innovation, and compassionate design. We partner with care teams, providers, and payers to improve patient engagement, care coordination, and claims management through advanced analytics, intelligent automation, and secure digital platforms.
This role is ideal for a hands-on engineer who thrives at the intersection of AI, product development, and full-stack software engineering. The ideal candidate has practical experience building and deploying real-world AI-powered applications using modern AI development tools such as Cursor, Claude, Codex, OpenAI, and related LLM technologies.
The candidate must reside within the continental US.
Responsibilities:
  • Design, develop, and implement AI-powered features across healthcare product platforms and operational systems.
  • Build full-stack applications using modern AI engineering workflows and tools such as Cursor, Claude, Codex, OpenAI APIs, and related LLM technologies.
  • Collaborate with product managers, designers, engineers, and clinical stakeholders to deliver scalable, user-focused solutions that improve patient engagement, care coordination, and operational efficiency.
  • Develop APIs, backend services, automation pipelines, and AI workflows that support intelligent product capabilities and production-ready deployments.
  • Apply software engineering, DevOps, and MLOps best practices to testing, deployment, monitoring, and optimization of AI solutions.
  • Research emerging AI technologies, LLM implementation patterns, and modern product engineering frameworks to continuously improve platform capabilities.
  • Navigate ambiguity, solve complex technical challenges, and collaborate effectively across technical and non-technical teams in a fast-paced Agile environment.
  • Take on additional tasks and responsibilities as needed to support team objectives and ensure the success of the project.

Requirements:
  • Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related technical discipline.
  • 2+ years of professional experience in software engineering, product engineering, or full-stack application development.
  • Hands-on experience delivering at least 2-3 production-level AI projects using tools such as Cursor, Claude, Codex, OpenAI, Anthropic, or similar AI development platforms.
  • Strong programming skills with proficiency in Python, TypeScript, JavaScript, or related modern development languages, along with experience building and deploying production-grade full-stack applications.
  • Experience integrating large language models (LLMs), prompt engineering, AI agents, generative AI workflows, or retrieval augmented generation (RAG) architectures.
  • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform, along with containerization and deployment technologies such as Docker and Kubernetes.
  • Strong communication, collaboration, analytical, and problem-solving skills with the ability to work independently in a remote Agile environment.

Additional Qualifications:
  • Experience with AI-assisted software development workflows, vector databases, embeddings, semantic search, orchestration frameworks, or AI workflow automation.
  • Familiarity with machine learning frameworks such as PyTorch, TensorFlow, Hugging Face, or scikit-learn.
  • Exposure to CI/CD pipelines, DevOps practices, infrastructure automation, or secure healthcare technology environments.
  • Experience supporting healthcare, payer/provider, federal government, or Department of Veterans Affairs (VA) technology initiatives is preferred.
  • Ability to obtain a government clearance is a plus.

Benefits:
  • Medical/Dental/Vision.
  • 401k with Employer Match.
  • PTO + Federal Holidays.
  • Corporate Laptop.
  • Training opportunities.
  • Remote Opportunity.

Note: Selected candidates will be required to complete fingerprinting at a government facility and undergo a background check as part of the hiring process.
VetsEZ is an equal opportunity employer. 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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