ZipRecruiter

Log In

2

Remote Prototyping Engineer Jobs in Washington, DC

SAIC

AI Engineer - SETA

Columbia, MD · On-site +1

$240K - $280K/yr

None Potential for Remote Work: ORA_ON_SITE Description Varen, an SAIC Company is seeking an AI ... The right candidate is a builder at heart--someone who explores new frameworks, prototypes ideas ...

Parsons

Principal Innovation Engineer

Reston, VA · On-site +1

... from remote and austere locations to high-throughput modern facilities to cloud-forward ... Identify, evaluate, and prototype new technologies that improve a globally deployed mission ...

Halvik

Machine Learning Engineer - Remote

Vienna, VA · On-site +1

$140K - $150K/yr

Conduct experiments, prototypes, and proof-of-concepts to validate model performance. * Create ... Engineer high-quality features and maintain training/inference pipelines. Cloud and Platform ...

next page

Showing results 1-20

All JobsPrototyping Engineer JobsRemote Prototyping Engineer JobsRemote Prototyping Engineer Jobs in Washington, DC

Remote Prototyping Engineer information

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

To excel as a Remote Prototyping Engineer, you need a strong background in engineering fundamentals, rapid prototyping techniques, and experience in CAD design, typically backed by a relevant degree. Familiarity with prototyping tools such as 3D printers, CNC machines, and collaborative platforms like SolidWorks or Fusion 360 is essential; certifications in product design or manufacturing can be advantageous. Strong problem-solving skills, effective remote communication, and self-motivation are vital soft skills for success in distributed teams. These competencies enable efficient development of innovative prototypes, ensure clear collaboration, and drive project success in a remote environment.

What does a Remote Prototyping Engineer do?

A Remote Prototyping Engineer is responsible for designing, building, and testing prototypes of products or systems while working from a remote location. They use digital tools to collaborate with teams, create models, and iterate on designs based on feedback. Their work is essential in transforming concepts into tangible prototypes that can be evaluated for functionality, usability, and manufacturability. This role typically requires strong technical skills, experience with prototyping software, and effective remote communication abilities.

How does a Remote Prototyping Engineer typically collaborate with cross-functional teams while working remotely?

Remote Prototyping Engineers often work closely with product managers, designers, and developers to transform ideas into functional prototypes. Collaboration is facilitated through regular video meetings, shared digital workspaces, and version-controlled repositories for code and design assets. Effective communication and documentation are essential to ensure alignment across time zones and disciplines. By using collaborative tools like Slack, Figma, and GitHub, Remote Prototyping Engineers can efficiently iterate on prototypes and incorporate feedback from stakeholders, ensuring project momentum even in a distributed work environment.

What is the difference between Remote Prototyping Engineer vs Remote Product Designer?

AspectRemote Prototyping EngineerRemote Product Designer
Primary FocusDeveloping and testing prototypes to validate technical feasibilityDesigning user interfaces and experiences for products
Skills & CredentialsEngineering background, prototyping tools, technical knowledgeDesign skills, UX/UI tools, creativity
Work EnvironmentCollaborates with engineers and developersWorks closely with users, product managers, and developers
Industry UsageTech, hardware, software developmentTech, consumer apps, digital products

While both roles involve creating prototypes, the Remote Prototyping Engineer focuses on technical feasibility and engineering prototypes, whereas the Remote Product Designer emphasizes user experience and visual design. Understanding these differences helps in choosing the right role based on your skills and career goals.

What are popular job titles related to Remote Prototyping Engineer jobs in Washington, DC? For Remote Prototyping Engineer jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Remote Prototyping Engineer jobs in Washington, DC look for? The top searched job categories for Remote Prototyping Engineer jobs in Washington, DC are:
Remote Prototyping Engineer jobs near you
AI Engineer - SETA

AI Engineer - SETA

SAIC

Columbia, MD • On-site, Remote

$240K - $280K/yr

Full-time

Posted 20 days ago

SAIC rating

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

77th of 230 rated it services

Job description

Job ID: 2614275

Location: Columbia, MD, US

Date Posted: 2026-07-06

Category: Engineering and Sciences

Subcategory: Systems Engineer

Schedule: Full-Time

Shift: Day Job

Travel: No

Minimum Clearance Required: TS.SCI_wPoly

Clearance Level Must Be Able to Obtain: None

Potential for Remote Work: ORA_ON_SITE


Description

Varen, an SAIC Company is seeking an AI Engineer - SETA to join our team.  This position is located in Columbia, MD and requires a TS/SCI with polygraph.

The AI Engineer - SETA wil provide technical advisory support for the design, evaluation, and advancement of AI-enabled applications, tools, and workflows. This role is intended for a hands-on technical professional who understands how modern AI systems are built and can help guide teams developing practical solutions using large language models, agentic workflows, orchestration frameworks, and supporting software infrastructure.
The right candidate is a builder at heart—someone who explores new frameworks, prototypes ideas, and continuously teaches themselves emerging techniques. Curiosity and passion matter greatly in this role. We want someone who follows the fast-moving AI ecosystem because they genuinely enjoy it, not just because the job requires it.

Key Responsibilities:

  • Provide SETA support to government teams developing or assessing AI-enabled applications and tools.
  • Advise on technical approaches for AI application design, prototyping, integration, and evaluation.
  • Assess solutions involving LLMs, retrieval-augmented generation, tool use, agentic workflows, orchestration layers, prompt pipelines, and evaluation harnesses.
  • Support the review of architectures, development approaches, model usage patterns, and technical risk areas.
  • Advise on AI engineering considerations such as latency, reliability, observability, testability, guardrails, data flow, and system integration.
  • Evaluate and compare modern AI frameworks, agentic libraries, and experimentation harnesses for suitability in mission use cases.
  • Assist with the development of technical guidance, prototypes, engineering recommendations, and briefings for government stakeholders.
  • Support test and evaluation activities for AI tools, including performance assessment, qualitative review, and workflow validation.
  • Collaborate with platform engineers, product leads, mission users, and government leadership to ensure AI efforts remain technically grounded and operationally relevant.
  • Stay current on rapid changes in the AI ecosystem and provide informed recommendations on emerging tools and practices.

Qualifications

  • Bachelors and eighteen (18) years or more experience; Masters and sixteen (16) years or more experience; PhD or JD and fifteen years or more experience.
  • Experience designing, building, integrating, or evaluating AI/ML-enabled applications or software tools.
  • Familiarity with modern AI application patterns, including LLM-based applications, RAG, prompt engineering, agentic systems, and AI-assisted workflows.
  • Working knowledge of one or more agentic or orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, Haystack, LlamaIndex, or similar ecosystems.
  • Experience with software development fundamentals, APIs, data handling, and system integration.
    Ability to assess technical tradeoffs and communicate them clearly to both engineers and government stakeholders.
  • TS/SCI with Poly required.

Desired, but not required:

  • Experience with Python, JavaScript/TypeScript, or similar languages commonly used in AI application development.
  • Familiarity with vector databases, embeddings, model APIs, evaluation frameworks, and agent testing harnesses.
  • Exposure to model hosting, inference pipelines, or cloud-based AI development environments.
    Understanding of secure AI development practices, data protection, and operational constraints in government settings.
  • Experience supporting defense, cyber, intelligence, or mission application development.
  • Familiarity with human-in-the-loop workflows, AI assurance, and evaluation methodologies.

Target salary range: $240,001 - $280,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

What SAIC employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply