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Remote Ai Prompt Engineer Jobs in Washington (NOW HIRING)

System One

AI/ML Engineer

Mclean, VA · Remote

AI/ML Engineer Location: Remote Work Authorization: Must be able to work without sponsorship ... Advanced prompt-engineering experience for complex reasoning, extraction, orchestration, and ...

System One

AI/ML Engineer

Mclean, VA · Remote

AI/ML Engineer Location: Remote Work Authorization: Must be able to work without sponsorship ... Advanced prompt-engineering experience for complex reasoning, extraction, orchestration, and ...

Peraton

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 ...

System One

AI/ML Engineer

Mclean, VA · Remote

AI/ML Engineer Location: Remote Work Authorization: Must be able to work without sponsorship ... Advanced prompt-engineering experience for complex reasoning, extraction, orchestration, and ...

Peraton

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 ...

Booz Allen Hamilton, Inc.

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 ...

Interon IT Solutions

ServiceNow AI Developer

Chantilly, VA · Remote

$55.25 - $76/hr

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

@Orchard

AI Engineer - Gen AI & NLP

Washington, DC · Remote

$120K - $230K/yr

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 ...

System One

Be Seen First

AI/ML Solutions Architect

Mclean, VA · Remote

$130K - $216K/yr

Remote Hours: 40.0 Clearance: Must be able to obtain a Federal or DoD Public Trust clearance ... prompt engineering, safety patterns, and defensive design. · Integrate knowledge graphs and ...

Whitespace

AI Software Developer

Alexandria, VA · Remote

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 ...

Whitespace

AI Software Developer

Alexandria, VA · On-site +1

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 ...

Node.Digital

Senior AI/ML Engineer

Herndon, VA · On-site +1

$107K - $147K/yr

Experience with generative AI models and frameworks (LLMs, RAG architectures, prompt engineering, model fne-tuning) * Hands-on exp with OCR, ICR and OMR technologies is a must * Good programming ...

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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 Aug 10, 2026, the average hourly pay for remote ai prompt engineer in Washington is $60.74, according to ZipRecruiter salary data. Most workers in this role earn between $48.99 and $70.53 per hour, depending on experience, location, and employer.

What is a remote AI prompt engineer?

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 remote AI prompt engineer do?

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 the most commonly searched types of Ai Prompt Engineer jobs in Washington? The most popular types of Ai Prompt Engineer jobs in Washington are:
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Remote Ai Prompt Engineer jobs near you
Infographic showing various Remote Ai Prompt Engineer job openings in Washington as of July 2026, with employment types broken down into 7% Internship, 75% Full Time, 10% Part Time, and 8% Contract. Highlights an 100% Remote job distribution, with an average salary of $126,344 per year, or $60.7 per hour.

AI Engineer - Financial Services Hybrid

RiskSpan

Washington, DC • On-site, Remote

Contractor

Re-posted 10 days ago

Job description

AI Engineer - Financial Services Remote / Hybrid

About RiskSpan

RiskSpan is a leading source of analytics, modeling, data, and risk management solutions for the Consumer and Institutional Finance industries. We serve banks, issuers of mortgage- and asset-backed securities, asset managers, servicers, and regulators with cutting-edge technology and deep domain expertise across credit, market, and operational risk.

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Position Overview We are seeking a hands-on AI Engineer to design, build, and deploy production-grade AI applications using AWS Bedrock, RAG architectures, and agent-based workflows. This role focuses on building real-world AI systems- chatbots, data analysis agents, and workflow automation solutions, integrating enterprise data and delivering scalable, reliable applications in AWS. The ideal candidate brings strong Python skills, cloud-native engineering experience, and a track record of shipping production AI systems end-to-end.

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Key Responsibilities

Design, build, and deploy AI-powered applications including chatbots, knowledge assistants, and workflow automation agents.

Implement end-to-end solutions covering data ingestion, transformation, prompt orchestration, model interaction, and cloud deployment.

Integrate AI systems with internal APIs, enterprise platforms, and data pipelines.

Design agent workflows with tool/function calling, branching logic, retries, and fallback handling.

Implement human-in-the-loop and approval-based workflows for regulated financial use cases.

Build multi-agent systems for validation, refinement, and complex task decomposition.

Design and implement RAG pipelines covering chunking, embeddings, retrieval, and grounding.

Work with structured and unstructured data using SQL, S3, and data pipeline tools.

Leverage AWS services (S3, Glue, Redshift, Lambda, ECS, Step Functions, SQS/SNS) for storage, transformation, and orchestration.

Monitor and improve AI systems for accuracy, latency, cost, and reliability.

Implement structured output validation, schema enforcement, and guardrails.

Evaluate model performance and iteratively improve grounding and output consistency.

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Required Qualifications

Strong experience building AI applications using LLMs (e.g., AWS Bedrock or equivalent platforms).

Hands-on experience with RAG architectures and retrieval pipelines.

Experience with vector databases, embeddings, and semantic search.

Demonstrated track record deploying production AI systems end-to-end - not just prototypes.

Solid Python programming skills (required).

Experience with core AWS services: Lambda, ECS, S3, Step Functions, SQS/SNS.

Strong SQL skills for querying and integrating structured data.

Experience integrating AI systems with APIs, databases, and cloud services.

Understanding of prompt engineering, tool/function calling, and structured outputs.

Strong problem-solving skills for building reliable systems around probabilistic AI behavior.

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Preferred Qualifications

Experience with AWS Bedrock AgentCore or similar agent orchestration frameworks.

Experience building multi-agent systems or advanced agent workflows.

Experience with AWS Glue, Redshift, EMR, or broader data engineering pipelines.

Experience with LLM evaluation frameworks and automated testing.

Knowledge of schema validation, guardrails, and output control techniques.

Experience with CI/CD, containerization, and infrastructure as code.

Background in financial services, regulated environments, or GSE/enterprise data platforms.

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Why RiskSpan? Join a team that combines deep industry expertise with cutting-edge analytics and AI to solve our clients' most complex challenges. At RiskSpan, we foster innovation, collaboration, and continuous growth.

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Equal Opportunity Employer RiskSpan is proud to be an Equal Opportunity/Affirmative Action employer committed to hiring a diverse workforce and sustaining an inclusive culture. Qualified candidates must be legally authorized to work in the United States on an unrestricted basis.

Employment Type: Contractor

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