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Remote Make Ready Engineer Jobs in Washington (NOW HIRING)

Lead Professional Engineer

Washington, DC · Remote

$116K - $152K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

No Overtime Pay Basis Remote (within USA - W/ On-Site Meetings Expected) in The CONUS - Located In ... ready due diligence, monitoring, certification, and decision-support outputs. Serve as a Lead ...

Data & AI Senior Engineer - 90405345 - Remote

Washington, DC · On-site +1

$138K - $182K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Are you ready to join our team? Our values of 'Do the Right Thing, Excel Together and Put Customers ... Remote The Data & AI Senior Engineer advances Amtrak's mission to make trusted, high-quality, and ...

Data & AI Senior Engineer - 90405345 - Remote

Washington, DC · On-site +1

$138K - $182K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Are you ready to join our team? Our values of 'Do the Right Thing, Excel Together and Put Customers ... Remote The Data & AI Senior Engineer advances Amtrak's mission to make trusted, high-quality, and ...

Data & AI Senior Engineer - 90405345 - Remote

Washington, DC · On-site +1

$138K - $182K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Are you ready to join our team? Our values of 'Do the Right Thing, Excel Together and Put Customers ... Remote The Data & AI Senior Engineer advances Amtrak's mission to make trusted, high-quality, and ...

Data & AI Senior Engineer - 90405345 - Remote

Washington, DC · On-site +1

$138K - $182K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Are you ready to join our team? Our values of 'Do the Right Thing, Excel Together and Put Customers ... Remote The Data & AI Senior Engineer advances Amtrak's mission to make trusted, high-quality, and ...

Showing results 41-60

Remote Make Ready Engineer information

What are some common challenges faced by remote make ready engineers, and how can they be addressed?

Remote Make Ready Engineers often encounter challenges such as coordinating with multiple stakeholders (utilities, permitting agencies, field crews) across different locations and time zones. Additionally, working remotely can make it harder to verify on-site conditions and ensure accurate documentation. These challenges can be addressed by leveraging advanced project management and communication tools, maintaining clear documentation, and scheduling regular virtual meetings with all parties. Proactively building strong relationships with local contacts also helps streamline the make-ready process and minimize delays.

What is the difference between Remote Make Ready Engineer vs Remote Construction Coordinator?

AspectRemote Make Ready EngineerRemote Construction Coordinator
CredentialsEngineering degree, technical certificationsProject management certifications, construction experience
Work EnvironmentRemote, technical review, site assessmentsRemote, project oversight, communication with teams
Industry UsageTelecom, broadband, network deploymentConstruction, infrastructure projects

The Remote Make Ready Engineer primarily focuses on technical assessments and preparing sites for new installations, often requiring engineering credentials. The Remote Construction Coordinator manages project timelines and coordination, emphasizing project management skills. Both roles are essential in telecom and construction industries, with overlapping remote work environments and industry applications.

What is a remote make ready engineer?

A Remote Make Ready Engineer is a professional who assesses and prepares infrastructure, such as utility poles or telecommunications equipment, for new installations or upgrades—often working off-site using digital tools and remote access. They analyze existing conditions, develop make-ready engineering plans, and coordinate with relevant teams to ensure compliance with safety and regulatory standards. This role is essential in industries like telecommunications and power distribution, where efficient and accurate pre-construction assessments are needed to support network expansions. Remote Make Ready Engineers typically use mapping software, databases, and remote communication platforms to perform their duties. Their work helps streamline project timelines and minimize on-site disruptions.

What are the key skills and qualifications needed to thrive as a remote make ready engineer?

To thrive as a Remote Make Ready Engineer, you need strong knowledge of utility infrastructure, NESC standards, and telecommunications construction, typically supported by a degree in engineering or related field. Proficiency with GIS mapping software, pole loading analysis tools, and project management systems is commonly required. Attention to detail, problem-solving, and effective communication are essential soft skills for collaborating with field teams and stakeholders. These skills and qualifications ensure accurate assessments, regulatory compliance, and the successful execution of telecom infrastructure projects.

Is it possible to work remotely as a remote make ready engineer?

Remote make ready engineers can often work remotely, especially if their tasks involve inspections, documentation, and coordination that can be done online. However, some roles may require on-site visits or physical assessments, so remote work availability depends on the specific employer and job responsibilities.

What cities in Washington are hiring for Remote Make Ready Engineer jobs?

Cities in Washington with the most Remote Make Ready Engineer job openings:

Infographic showing various Remote Make Ready Engineer job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 24% Part Time, and 2% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution.

AI Software Engineer (Remote)

Knexus Research Corporation

Vienna, VA • Remote

Full-time

Re-posted 2 days ago


Job description

We're looking for an experienced AI Software Engineer with 6-8 years of experience to join our AI applications team. This is a fully remote position for candidates in the continental U.S., with work hours aligned to the Eastern Standard Time (EST) zone. You will be instrumental in the entire software development lifecycle, from initial design to final delivery, creating AI-powered software products that aid military commanders and business leaders in making mission-critical decisions. The ideal candidate will have exceptional algorithmic and problem-solving skills, and a strong background in software engineering, enabling them to make an immediate impact on our projects. We are committed to providing you with the necessary tools and training to produce world-class software.

Responsibilities

  • Collaborative Design & Implementation: You will collaboratively design, implement, and test AI enabled software systems. This role involves leveraging cutting-edge technologies, including GenAI and machine learning models.
  • Modular Systems Development: Develop modular systems within a distributed architecture, such as with RESTful containerized microservices.
  • Performance Optimization: Review and analyze software runtime performance, making algorithmic and performance improvements.
  • Agile Development: Use agile development techniques throughout the project lifecycle.

Qualifications and Experience

  • Experience: 6-8 years of experience in software development, including design, coding, testing, and delivery.
  • Core Skills: You should have mastery in object-oriented design and programming, as well as knowledge of design patterns and algorithmic analysis.
  • Programming Languages: Proficiency in Python is a must, experience with other languages such as JavaScript, TypeScript, or C++ is useful but not critical.
  • GenAI: Experience building applications leveraging LLMs as a core component
  • Work Environment: Experience working in a small, remote team environment is preferred.
  • Government Clearance: You must be a U.S. citizen and eligible for a government security clearance (Secret Clearance).

Bonus Experience

  • AI/ML: Exposure to AI and/or Machine Learning technologies is a plus.
  • Specialized Knowledge: Experience with discrete event simulation, geospatial and/or temporal databases, and performing scientific evaluations and comparisons is highly valued.
  • Google Cloud Platform: Experience using and deploying technologies onto GCP, existing GCP credentials, and familiarity with VertexAI.
  • Technical Familiarity: Familiarity with technologies such as Docker, Node, and REST APIs is a bonus. Experience with database systems such as Firebase and PostgreSQL.

About Knexus

At Knexus Research, we are at the forefront of AI development for the government, with a mission to revolutionize how government serves its citizens. As a pioneer in the field, we've spent nearly two decades pushing the boundaries of what is possible with artificial intelligence. Our work has a direct, mission-driven impact, and we believe that our innovative ideas help us stay ahead of the curve. Our partnership with Google Cloud gives our team unparalleled access to the latest tools and expertise.