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Prompt Engineer Jobs in Reston, VA (NOW HIRING)

SANS

AI Engineer -

Washington, DC · On-site

... prompt libraries, and steering files based on pilot learnings and squad feedback Document ways of ... Bank engineers to independently configure, maintain, and extend the AI tooling Candidate ...

Nastech Global

Senior AI/ML/Python Engineer

Reston, VA · On-site

... prompt engineering techniques. • Strong understanding of financial data, KPIs, and reporting standards. • Excellent communication and collaboration skills. Thank and Regards Gopi M 202.828.3493 ...

Deltek, Inc.

Sr Software Engineer

Herndon, VA · Remote

$126K - $166.10K/yr

Apply prompt engineering frameworks and patterns established by architects across the ERP platform * Integrate machine learning capabilities including predictive analytics, anomaly detection, and ...

History Factory

Staff Engineer

Washington, DC · On-site

Staff Engineer (AI & Automation) About History Factory Since 1979, History Factory has been driven ... Implement prompt- and injection-safety strategies for LLM features (context scoping, output ...

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Prompt Engineer information

See Reston, VA salary details

$10

$48

$91

How much do prompt engineer jobs pay per hour?

As of Jun 3, 2026, the average hourly pay for prompt engineer in Reston, VA is $48.99, according to ZipRecruiter salary data. Most workers in this role earn between $37.26 and $63.27 per hour, depending on experience, location, and employer.

What is a Prompt Engineer job?

A Prompt Engineer is a professional who designs, refines, and optimizes prompts to improve interactions with AI models, such as ChatGPT. Their role involves understanding model behavior, crafting precise queries, and experimenting with phrasing to achieve desired outputs. They may work in AI research, software development, or content generation to maximize AI efficiency. Strong skills in language, logic, and sometimes coding are essential for success in this role.

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

To thrive as a Prompt Engineer, you need a strong grasp of natural language processing (NLP), machine learning concepts, and experience crafting effective prompts for large language models, usually supported by a technical degree or relevant experience. Familiarity with tools such as OpenAI's API, Hugging Face, or other AI platforms, as well as knowledge of programming languages like Python, is highly valuable. Creative thinking, analytical problem-solving, and cross-functional communication skills help differentiate top candidates in this field. These abilities are crucial for optimizing AI outcomes and ensuring collaboration with both technical and non-technical teams.

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

A typical day for a Prompt Engineer involves designing, testing, and refining prompts to enhance the performance of AI language models, often collaborating closely with data scientists, software engineers, and product managers. You might analyze the results of model outputs, integrate user or stakeholder feedback, and iterate on prompt strategies to solve diverse business challenges. Your role will usually include documentation, troubleshooting, and keeping up with the latest advances in AI technologies. Expect a mix of independent work and regular team meetings in a dynamic, fast-evolving environment focused on innovation and improvement.
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Prompt Engineer jobs near you
Infographic showing various Prompt Engineer job openings in Reston, VA as of May 2026, with employment types broken down into 84% Full Time, and 16% Part Time. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $101,892 per year, or $49 per hour.
AI Engineer

AI Engineer

International Logic Systems, Inc.

Fairfax, VA • Hybrid

Full-time

Posted 10 days ago

Job description

Overview

AI Engineer - required onsite (hybrid) in Fairfax, VA

Overview

ILS Inc. is seeking an AI Engineer to design and implement next-generation AI solutions using large language models (LLMs), agentic workflows, and Model Context Protocol (MCP)-based integrations. The ideal candidate has hands-on experience building AI-powered applications (not just training models) and understands how to orchestrate tools, APIs, and data sources into reliable systems. 

MUST BE LOCAL TO DC METRO AREA (hybrid support - 2 days in ILS HQ office, located in Fairfax, VA 22033

Responsibilities

Responsibilities

  • Design and build agentic AI systems that can reason, plan, and execute tasks using LLMs.
  • Implement integrations using Model Context Protocol (MCP) to connect AI agents with tools, APIs, and enterprise systems.
  • Develop and maintain LLM-powered applications (e.g., copilots, chat systems, automation tools).
  •  Build prompt pipelines, tool-calling workflows, and multi-step reasoning systems.
  • Develop backend services using Java (Spring Boot) and/or Python to expose AI capabilities via APIs.
  • Leverage Spring AI or similar frameworks to integrate LLMs into enterprise applications.
  • Implement RAG (Retrieval-Augmented Generation) pipelines using vector databases.
  • Integrate AI solutions with cloud-native services such as AWS, Azure, and Google Cloud.
  •  Deploy AI services and ensure scalability, reliability, and performance.
  • Collaborate with cross-functional teams in an Agile/Scrum environment.
  • Monitor and optimize AI systems for latency, cost, and output quality.
Qualifications

Required skill sets - Extensive experience with:

  • Bachelor's degree in computer science, Engineering, or related field.
  • 5-9 years of professional experience in software engineering, AI engineering, or applied ML roles.
  • Hands-on experience with LLM APIs.
  •  Experience building agent-based workflows.
  • Understanding of prompt engineering, tool usage, and structured outputs.
  •  Familiarity with RAG architectures and vector databases.
  • Experience with Model Context Protocol (MCP) or similar integration standards.
  • Experience working with at least one cloud platform and exposure to others:
    • AWS (Lambda, Bedrock, SageMaker, S3)
    • Azure (Azure OpenAI, Functions, Cognitive Services)
    • Google Cloud (Gemini Enterprise Agent Platform, Vertex AI, Cloud Functions, BigQuery)

Preferred Skills

  • Strong programming skills in Python and/or Java.
  • Experience building backend services using Spring Boot (REST APIs, microservices).
  • Exposure to Spring AI or similar frameworks for integrating LLMs into Java applications.
  • Experience with Docker and containerized deployments.
  • Basic frontend experience (React, Angular) for AI-driven applications.
  • Experience working in regulated environments (government, finance, healthcare).
Employment Type: FULL_TIME

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