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Prompt Engineering Jobs in Reston, VA (NOW HIRING)

Enterprise Architect

Mclean, VA · On-site

$69.75 - $90/hr

Proficient in prompt engineering (Zero, One, few shot prompting, Chain of Thought) and prompt design. * Understand deep learning concepts, autoencoders optimization, convolutional neural networks ...

Enterprise Architect

Mclean, VA

$70.75 - $91.25/hr

Proficient in prompt engineering (Zero, One, few shot prompting, Chain of Thought) and prompt design. * Understand deep learning concepts, autoencoders optimization, convolutional neural networks ...

Optimize and adapt prompt engineering strategies to improve model performance and relevance. * Integrate and deploy models using AWS services including Bedrock, S3, ECS, EC2, Lambda and other AI/ML ...

AI Enterprise Architect - onsite

Mclean, VA · On-site

$70.75 - $91.25/hr

Proficient in prompt engineering (Zero, One, few shot prompting, Chain of Thought) and prompt design. * Understand deep learning concepts, autoencoders optimization, convolutional neural networks ...

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 ...

AI Architect/ AI Engineer

Mclean, VA

$64.75 - $85.25/hr

... Prompt Engineering (Zero/Few-shot, Chain-of-Thought) and prompt design. · Strong Python development experience and ability to guide teams with reference implementations. · Experience with RAG ...

Senior Agentic AI Developer

Arlington, VA · On-site

$62.75 - $83/hr

Optimize prompt engineering, system instructions, and tool schemas * Ensure reliability, observability, and evaluation of AI agent outputs * Establish guardrails, safety constraints, and monitoring ...

Enterprise Architect IV

Reston, VA · On-site

$55 - $62/hr

Apply prompt engineering best practices to create reusable prompt libraries, templates, and workflows for architecture and engineering teams. Communication & Leadership Communicate complex ...

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Prompt Engineering information

See Reston, VA salary details

$33.8K

$65.5K

$99.4K

How much do prompt engineering jobs pay per year?

As of Jun 3, 2026, the average yearly pay for prompt engineering in Reston, VA is $65,519.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,900.00 and $74,900.00 per year, depending on experience, location, and employer.

What is a Prompt Engineering job?

A Prompt Engineering job involves designing, refining, and optimizing prompts to improve the performance of AI language models. Prompt engineers work with large language models (LLMs) to generate accurate, relevant, and high-quality responses. They experiment with different phrasing techniques, fine-tune AI outputs, and collaborate with developers to enhance model capabilities. This role is essential in ensuring AI systems provide reliable and useful responses for various applications.

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

To excel in Prompt Engineering, a strong grasp of natural language processing (NLP), machine learning concepts, and analytical thinking is essential, often supported by a degree in computer science or a related field. Familiarity with AI platforms, code repositories (such as GitHub), and prompt development tools is typically required. Excellent problem-solving, creativity, and cross-functional communication skills help Prompt Engineers effectively collaborate and refine model outputs. These capabilities enable the creation of precise, effective prompts driving high-quality AI responses in rapidly evolving technical environments.

What are the most common challenges faced by Prompt Engineers in their daily work?

Prompt Engineers frequently encounter challenges such as ensuring the clarity and relevance of prompts to achieve accurate AI responses, troubleshooting inconsistent model behavior, and staying updated with evolving AI technologies. Balancing experimentation with efficiency is often essential, as iterative testing and refinement are core parts of the workflow. Collaboration with data scientists, product managers, and other engineers is common, requiring adaptability and strong communication skills. These challenges make the role dynamic and rewarding for professionals who enjoy problem-solving and innovation.
What job categories do people searching Prompt Engineering jobs in Reston, VA look for? The top searched job categories for Prompt Engineering jobs in Reston, VA are:
What cities near Reston, VA are hiring for Prompt Engineering jobs? Cities near Reston, VA with the most Prompt Engineering job openings:
Software Engineer, Technical Lead (Gen AI Engineering)

Software Engineer, Technical Lead (Gen AI Engineering)

Freddie Mac

Mclean, VA • On-site

Full-time

Posted 2 days ago


Job description

Job Summary:
Freddie Mac is an organization dedicated to making home possible for millions of families across the country. They are seeking a highly experienced Software Engineer, Technical Lead (Gen AI) to lead the design and development of innovative Generative AI solutions that address complex business challenges.
Responsibilities:
• Design and implement scalable Full Stack Gen AI Agents, Agentic Workflows, and applications to address diverse and complex business use cases.
• Design and implement feature engineering workflows to extract relevant signals from structured and unstructured data, enhancing the performance of LLM-powered products.
• Ensure that data used by AI applications is clean, well-structured, and optimized for model consumption.
• Establish feedback mechanisms where outputs from LLM models are analyzed and used to enrich and improve the underlying data sources, creating a virtuous cycle for product improvement.
• Design and deploy Python-based microservices for robust orchestration and integration with Gen AI Large Language Models (LLMs).
• Integrate machine learning models such as LLMs, RAG, and multi-modal AI into the application architecture.
• Implement solutions leveraging modern design patterns and best practices for full stack development.
• Build and maintain RESTful APIs to enable seamless communication between different system components.
• Collaborate with cross-functional teams of full stack engineers, data engineers and Gen AI experts to build full-stack Gen AI experiences.
• Lead DevOps initiatives, including CI/CD pipelines, to ensure scalable and efficient deployment of Gen AI applications.
• Stay updated with advances in LLMs, vector search, prompt engineering and retrieval strategies to continuously improve system capabilities.
Qualifications:
Required:
• Bachelor's degree in computer science, Computer Engineering, IT or a related field. Advanced studies/degree preferred.
• 8-10 years of experience in software development
• 5+ years of experience in applied AI/ML engineering
• Strong proficiency in Python and experience with LangChain or similar framework
• Experience in data transformation, cleansing, and feature engineering to prepare data for AI/ML models
• Knowledge of implementing APIs, microservices and distributed systems within cloud environment. Familiarity with AWS services is expected
• Strong programming skills and familiarity with AI/ML libraries and frameworks.
• Solid understanding of MLOps/DataOps pipelines for scalable AI/ML development
• Experience with logging, tracing and observability frameworks
• Exposure to LLM fine-tuning, prompt engineering and model evaluation is must
• Demonstrated ability to work in cross-functional agile teams with a proven ability to collaborate with data engineers to ensure data readiness and quality for Gen AI solutions.
Preferred:
• Experience with managed LLM platforms such as AWS Bedrock, Azure OpenAI or GCP Vertex AI is a plus
Company:
Freddie Mac is a public government-sponsored enterprise that provides mortgage capital to lenders. Founded in 1970, the company is headquartered in Mclean, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

Freddie Mac logo

About Freddie Mac

Sourced by ZipRecruiter

Today, Freddie Mac makes home possible for one in four home borrowers and is one of the largest sources of financing for multifamily housing. Join our smart, creative and dedicated team and you'll do important work for the housing finance system and make a difference in the lives of others.

Industry

Finance and insurance

Company size

5,001 - 10,000 Employees

Headquarters location

McLean, VA, US

Year founded

1970