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Temporary Ai Prompt Engineer Jobs in Virginia (NOW HIRING)

Design, implement, and optimize AI/ML models particularly leveraging LLMs, RAG, and prompt engineering for production grade applications. * Develop and orchestrate multi-agent systems using ...

New

Design, implement, and optimize AI/ML models particularly leveraging LLMs, RAG, and prompt engineering for production grade applications. * Develop and orchestrate multi-agent systems using ...

New

Design, implement, and optimize AI/ML models particularly leveraging LLMs, RAG, and prompt engineering for production grade applications. * Develop and orchestrate multi-agent systems using ...

New

Design, implement, and optimize AI/ML models particularly leveraging LLMs, RAG, and prompt engineering for production grade applications. * Develop and orchestrate multi-agent systems using ...

New

Design, implement, and optimize AI/ML models particularly leveraging LLMs, RAG, and prompt engineering for production grade applications. * Develop and orchestrate multi-agent systems using ...

New

Design, implement, and optimize AI/ML models particularly leveraging LLMs, RAG, and prompt engineering for production grade applications. * Develop and orchestrate multi-agent systems using ...

New

Design, implement, and optimize AI/ML models particularly leveraging LLMs, RAG, and prompt engineering for production grade applications. * Develop and orchestrate multi-agent systems using ...

New

Design, implement, and optimize AI/ML models particularly leveraging LLMs, RAG, and prompt engineering for production grade applications. * Develop and orchestrate multi-agent systems using ...

New

Explicitly mentions vibe coding and prompt engineering and references agentic AI development and AI productivity tools like Microsoft Copilot. About the Role A 10-week Technology Program Internship ...

Enterprise Architect IV

Reston, VA · On-site

$55 - $62/hr

Demonstrated expertise in prompt engineering and applied AI usage for technical analysis and solution creation. Excellent communication, documentation, and executive‑level presentation skills ...

Senior IT Project Manager - AI

Quantico, VA · On-site

$138K - $139K/yr

Mentor technical staff on AI development practices, prompt engineering techniques, AI governance, and emerging technologies. * Develop technology roadmaps supporting enterprise AI adoption and ...

Senior IT Project Manager - AI

Quantico, VA · On-site

$138K - $139K/yr

Mentor technical staff on AI development practices, prompt engineering techniques, AI governance, and emerging technologies. * Develop technology roadmaps supporting enterprise AI adoption and ...

Python, Machine Learning, Deep Learning, Scikit-learn, TensorFlow, PyTorch, Pandas, NumPy, SQL, NLP, Computer Vision, Generative AI, LLM, Prompt Engineering, RAG, Vector Databases, REST APIs ...

Build solutions using Large Language Models (LLMs), prompt engineering, RAG, and AI agents. * Develop and optimize AI pipelines for data ingestion, processing, embedding generation, retrieval, and ...

Senior Salesforce Developer

Reston, VA · On-site

$130K - $159K/yr

Implement custom objects, versioning models, and secure role‑based access AI & Prompt Engineering (Agentforce) * Design and build multiple Prompt Builder templates with deterministic structure and ...

Showing results 21-40

Temporary Ai Prompt Engineer information

What is a Temporary AI Prompt Engineer?

A Temporary AI Prompt Engineer is a professional hired for a short-term contract to design, test, and refine prompts that guide artificial intelligence models, like ChatGPT, to produce accurate and relevant responses. Their main responsibilities include understanding project requirements, crafting effective prompts, analyzing model outputs, and iteratively improving the prompts to achieve desired outcomes. This role is especially important in organizations that need rapid development or scaling of AI tools without long-term staffing commitments. Temporary AI Prompt Engineers often collaborate with data scientists, product managers, and developers to ensure the AI meets business objectives. The position typically requires strong language skills, analytical thinking, and familiarity with AI models.

What are the key skills and qualifications needed to thrive as a Temporary AI Prompt Engineer?

To thrive as a Temporary AI Prompt Engineer, you need a strong background in language models, prompt engineering, and data analysis, often supported by experience with AI development or a related degree. Familiarity with tools like OpenAI's GPT platform, prompt optimization frameworks, and version control systems such as Git is typically required. Creativity, problem-solving, and clear written communication are essential soft skills for crafting effective prompts and collaborating with team members. These skills ensure the delivery of high-quality, impactful AI outputs and enable rapid adaptation in a fast-evolving technical environment.

What are some common challenges faced by Temporary AI Prompt Engineers, and how can they effectively address them?

Temporary AI Prompt Engineers often face the challenge of quickly adapting to new AI models and internal tools within a limited timeframe. They must efficiently learn company-specific requirements, collaborate with cross-functional teams, and deliver high-quality prompts under tight deadlines. Success in this role relies on clear communication, proactive problem-solving, and the ability to iterate rapidly based on feedback. Building strong relationships with team members and leveraging available documentation can help temporary engineers transition smoothly and make meaningful contributions during their assignment.

What is the difference between Temporary Ai Prompt Engineer vs Data Scientist?

AspectTemporary Ai Prompt EngineerData Scientist
Required CredentialsOften a degree in computer science, AI, or related fields; familiarity with AI toolsDegree in computer science, statistics, or related fields; strong programming skills
Work EnvironmentTech companies, AI startups, freelance projects; project-based rolesResearch institutions, tech firms, corporate analytics teams; ongoing projects
Employer & Industry UsagePrimarily in AI development, content creation, and product testingData analysis, predictive modeling, business insights

While both roles require technical skills and familiarity with data and AI tools, Temporary Ai Prompt Engineers focus on crafting prompts for AI models in short-term projects, whereas Data Scientists analyze data to inform business decisions over longer periods.

What are the most commonly searched types of Ai Prompt Engineer jobs in Virginia?

The most popular types of Ai Prompt Engineer jobs in Virginia are:

What are popular job titles related to Temporary Ai Prompt Engineer jobs in Virginia?

For Temporary Ai Prompt Engineer jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Temporary Ai Prompt Engineer jobs in Virginia look for?

The top searched job categories for Temporary Ai Prompt Engineer jobs in Virginia are:

What cities in Virginia are hiring for Temporary Ai Prompt Engineer jobs?

Cities in Virginia with the most Temporary Ai Prompt Engineer job openings:

Infographic showing various Temporary Ai Prompt Engineer job openings in Virginia as of August 2026, with employment types broken down into 78% Full Time, 19% Part Time, and 3% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution.

Python Developer with Agentic AI Platform

eSolutionsFirst, LLC

Vienna, VA • On-site

$50.50 - $69.50/hr

Other

Posted 9 days ago


Job description

Role Overview

We are seeking a highly experienced Senior Software Engineer to design, build, and scale our next-generation Agentic AI Platform. The role focuses on LLMs, RAG, Multi-Agent Systems, and MCP, with strong software engineering expertise in Golang, Python and Java.

Key Responsibilities

  • Design, develop, test, deploy, and maintain scalable AI platform components using Golang, Python, and Java/Spring Boot.
  • Build LLM-powered agents supporting reasoning, planning, tool use, decision-making, and multi-step workflows.
  • Develop RAG pipelines, prompt engineering, function/tool calling, context management, and agent memory.
  • Design multi-agent architectures and integrate MCP with enterprise tools and systems.
  • Build scalable microservices, REST APIs, and distributed systems.
  • Integrate LLMs, APIs, internal platforms, and third-party services.
  • Optimize solutions for performance, reliability, latency, cost, and quality.
  • Participate in architecture, development, testing, deployment, monitoring, and production support.

 Required Qualifications

  • Bachelor''s/Master''s degree in Computer Science, Engineering, or related field.
  • 7+ years of software engineering experience.
  • Strong hands-on expertise in Golang and Python; experience with Java/Spring Boot is preferred.
  • Strong experience building scalable, production-grade applications, microservices, APIs, and distributed systems.
  • Solid understanding of algorithms, data structures, OOP, and software design principles.
  • Hands-on experience with AI/ML, LLMs, Generative AI, prompt engineering, and tool/function calling.
  • Experience with RAG, embeddings, vector databases, and semantic search.
  • Knowledge of Agentic AI, multi-agent systems, agent orchestration, and MCP.
  • Experience with SQL/NoSQL databases and data pipelines.
  • Experience with AWS
  • Strong understanding of CI/CD, testing, version control, and production engineering.
  • Excellent problem-solving, communication, and collaboration skills.