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Remote Ai Prompt Engineer Jobs in Reston, VA (NOW HIRING)

Maintain a strong understanding of emerging GenAI frameworks, prompt engineering methodologies ... For Remote Opportunities), education and certifications as well as Federal Government Contract ...

Senior AI Engineer

Reston, VA · Remote

$127K - $168K/yr

Establish prompt frameworks, chaining strategies and reusable AI patterns that scale across teams ... Prompt engineering, prompt chaining, and reusable prompt architectures * Evaluation frameworks for ...

Senior AI Engineer

Reston, VA · Remote

$127K - $168K/yr

Establish prompt frameworks, chaining strategies and reusable AI patterns that scale across teams ... Prompt engineering, prompt chaining, and reusable prompt architectures * Evaluation frameworks for ...

AI Software Engineer - Remote

Reston, VA · On-site +1

$140K - $170K/yr

Hands-on experience with LLM APIs, prompt engineering, RAG architectures, and AI agent frameworks ... Opportunity for remote work. * A competitive salary and benefits package. * A casual, friendly, and ...

Senior AI/ML Engineer

Great Falls, VA · Remote

$105K - $145K/yr

Location: Vienna VA (We will consider Remote candidates within US Mainland on EST) Required ... Knowledge of Large Language Models (LLMs), prompt engineering techniques, and NLP-based solutions

AI Engineer

Arlington, VA · On-site +1

$77K - $176K/yr

Remote Work: Yes Job Number: R0241255 Location: Arlington,VA,US Share job via: Share AI Engineer ... Experience with basic prompt engineering concepts and use of LLM SDKs or frameworks, including ...

ServiceNow AI Developer

Chantilly, VA · Remote

$55.25 - $76/hr

... prompt engineering strategies and retrieval-augmented generation (RAG) patterns. • Train and tune machine learning models for classification, routing, and predictions. • Integrate AI agents with ...

Artificial Intelligence AI Engineer - Gen AI, NLP Talent Pool for upcoming assignments Remote, Work ... Design and implement GenAI-powered solutions (LLMs, embeddings, prompt orchestration) * Develop NLP ...

Artificial Intelligence AI Engineer - Gen AI, NLP Talent Pool for upcoming assignments Remote, Work ... Design and implement GenAI-powered solutions (LLMs, embeddings, prompt orchestration) * Develop NLP ...

PhD Engineer (Electrical, Mechanical, Chemical) Role Type: Contractor Location: Remote micro1 is ... Collaborate with project coordinators to refine prompt response quality as needed Preferred ...

Remote / Alexandria, VA Clearance: Eligibility to be cleared Are you ready to be part of a team ... prompt engineering or agentic AI architectures * Expert in Python and proficient with relevant ...

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Remote Ai Prompt Engineer information

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How much do remote ai prompt engineer jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for remote ai prompt engineer in Reston, VA is $55.80, according to ZipRecruiter salary data. Most workers in this role earn between $45.00 and $64.76 per hour, depending on experience, location, and employer.

What is a Remote AI Prompt Engineer job?

A Remote AI Prompt Engineer designs, refines, and optimizes prompts to improve AI-generated responses in various applications, such as chatbots, content generation, and automation tools. They work remotely to test AI models, analyze outputs, and develop strategies to enhance AI performance. This role requires strong language skills, creativity, and an understanding of AI model behavior. Their work helps ensure AI systems generate accurate, relevant, and high-quality responses.

What are the key skills and qualifications needed to thrive in the Remote Ai Prompt Engineer position, and why are they important?

To thrive as a Remote AI Prompt Engineer, you should have a strong grasp of natural language processing, prompt engineering techniques, and a background in computer science or related fields. Familiarity with AI platforms (such as OpenAI's GPT or similar LLMs), version control systems, and experience with relevant programming languages like Python are highly valuable, and certifications in AI or machine learning are a plus. Exceptional analytical thinking, clear written communication, creativity, and the ability to work independently are key soft skills for this role. These capabilities enable prompt engineers to develop effective prompts, collaborate remotely, and drive high-quality AI-driven outcomes.

What does a typical day look like for a Remote AI Prompt Engineer?

A typical day for a Remote AI Prompt Engineer involves designing, testing, and refining prompts for various AI models to improve their outputs based on project goals. You may collaborate with product managers, data scientists, and software engineers through digital communication tools to align prompt strategies with business needs. Reviewing model responses, analyzing results, and documenting prompt performance are regular tasks. Additionally, you may participate in virtual team meetings and training sessions to stay updated on new AI developments. This role offers a diverse mix of technical problem-solving and creative experimentation within a flexible remote work environment.

What are popular job titles related to Remote Ai Prompt Engineer jobs in Reston, VA? For Remote Ai Prompt Engineer jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Remote Ai Prompt Engineer jobs in Reston, VA look for? The top searched job categories for Remote Ai Prompt Engineer jobs in Reston, VA are:
What cities near Reston, VA are hiring for Remote Ai Prompt Engineer jobs? Cities near Reston, VA with the most Remote Ai Prompt Engineer job openings:
Infographic showing various Remote Ai Prompt Engineer job openings in Reston, VA as of July 2026, with employment types broken down into 64% Full Time, 18% Part Time, and 18% Contract. Highlights an 100% Remote job distribution, with an average salary of $116,054 per year, or $55.8 per hour.
AI/ML Engineer

$190K - $220K/yr

Full-time

Re-posted 11 days ago


Job description

Overview

FTI Defense is seeking a hands-on AI/ML Engineer to design, build, and deploy advanced machine learning solutions supporting defense and national security missions. This role focuses on execution in oversight, ideal for an engineer who thrives in the code, enjoys building end-to-end pipelines, and takes pride in seeing their work directly impact operational systems.

FTI Defense delivers mission-focused solutions to the Department of Defense/Depratment of War (DoD/DoW) and Intelligence Community (IC) through advanced engineering, digital transformation, and program execution expertise. We help our customers solve complex challenges and achieve mission success by integrating people, process, and technology.

Responsibilities
  • Design, develop, and deploy AI/ML models and pipelines that meet mission and performance objectives.
  • Build, train, and fine-tune models using frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, and LangChain.
  • Develop and operationalize MLOps pipelines (MLflow, Kubeflow, DVC, or custom training/inference orchestration).
  • Implement and optimize vector databases (Milvus, Pinecone, Chroma, FAISS) and retrieval architectures (RAG, graph, hybrid).
  • Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and inference services.
  • Experiment with fine-tuning and optimization of LLMs and task-specific models (LoRA, QLoRA, PEFT).
  • Contribute to agent-based applications using frameworks like LangGraph, AutoGen, CrewAI, or DSPy.
  • Integrate AI services into real-world systems via APIs, event-driven workflows, or UI copilots.
  • Collaborate with data engineers, software developers, and mission analysts to ensure AI models are production-ready and aligned with customer needs.
  • Participate in peer reviews, contribute to shared repositories, and document models and experiments for reproducibility.
Education/Qualifications

Minimum Requirements:

  • Must be a U.S. citizen and be willing to obtain and maintain a security clearance, as needed.
  • 6-10+ years of professional experience developing and deploying AI/ML solutions in production environments.
  • Minimum of 3 years' professional experience within the Department of Defense/Department of War (DoD/DoW) AI assurance, security, and deployment environments.
  • Strong Python development skills with hands-on experience building AI/ML solutions.
  • Direct experience with ML frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, or LangChain.
  • Proven ability to build and deploy MLOps pipelines using MLflow, Kubeflow, DVC, or equivalent.
  • Working knowledge of vector databases (Milvus, Pinecone, Chroma, FAISS) and retrieval-based architectures (RAG, hybrid, graph).
  • Professional experience fine-tuning and evaluating LLMs or smaller task-specific models using LoRA, QLoRA, or PEFT.
  • Professional experience integrating AI capabilities into production systems or mission applications.

 Preferred Qualifications:

  • Familiarity with agentic frameworks (LangGraph, AutoGen, CrewAI, DSPy) and multi-agent reasoning.
  • Understanding of prompt engineering, retrieval quality, and grounding methods.
  • Exposure to GPU-based or edge inference environments.
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related technical field.
  • Active Secret clearance preferred; ability to obtain one is required.

For this role, the compensation range for candidates is $190k-$220k . *Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience. FTI has a location-based compensation structure; there may be a different range for candidates in other locations.

#LI-KM1

#LI-Remote

Employment Type: FULL_TIME