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Home Based Prompt Engineering Jobs in Washington

Develop prompt engineering frameworks and AI agents. * Fine-tune and customize foundation models based on business requirements. * Implement guardrails, governance, and responsible AI practices.

Gen AI/Python Developer

Reston, VA · On-site

$52.25 - $72/hr

Systems Engineering Services is seeking an AI/Python Developer with a Java Certification based out ... Experience working with LLMs (Anthropic Claude, Sonnet) and prompt engineering techniques. Strong ...

Designing and leading AI-powered Quality Engineering solutions * Building GenAI-based QE platforms, AI agents, and autonomous workflows * Hands-on experience with LLMs, prompt engineering, RAG ...

Scala Engineer

Mclean, VA · On-site

$116K - $139K/yr

... API prompt engineering API integration agentic workflows Cursor AInative IDE multifile editing ... Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on ...

AI/Synthetic Engineer

Alexandria, VA · Hybrid

$110K - $135K/yr

... RAG, prompt engineering, and evaluation frameworks. * Exposure to synthetic data, agent-based ... Physical Requirements This position operates in a typical office environment (which includes a home ...

Senior Sales Engineer

Washington, DC · On-site

$188 - $282/hr

A strong foundational interest in AI technologies, including prompt engineering, LLMs, and ... If you are based in the United States and would like more information about your EEO rights under ...

Showing results 41-60

Home Based Prompt Engineering information

What is the difference between Home Based Prompt Engineering vs Remote AI Content Specialist?

AspectHome Based Prompt EngineeringRemote AI Content Specialist
Required CredentialsBasic understanding of AI prompts, no formal certification neededExperience in content creation, possibly some AI tool familiarity
Work EnvironmentHome-based, flexible hoursHome-based, project or task-based
Industry UsageAI development, chatbot training, prompt optimizationContent marketing, social media, digital content creation
Common Search IntentJobs involving AI prompt design from homeRemote content creation roles involving AI tools

Home Based Prompt Engineering focuses on designing and refining prompts for AI models, often requiring technical understanding of AI systems. In contrast, Remote AI Content Specialists create digital content using AI tools, emphasizing content skills. Both roles are home-based and industry-related but differ in technical depth and primary tasks.

Are home based prompt engineers still in demand?

Home-based prompt engineering is an emerging field within AI and natural language processing, with demand increasing as organizations seek expertise in designing effective prompts for AI models. Skills in AI tools, machine learning, and strong communication are valuable, and remote work opportunities are growing in this area. However, the field is still developing, and demand may vary based on industry adoption and technological advancements.
What are the most commonly searched types of Prompt Engineering jobs in Washington? The most popular types of Prompt Engineering jobs in Washington are:
What are popular job titles related to Home Based Prompt Engineering jobs in Washington? For Home Based Prompt Engineering jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Home Based Prompt Engineering jobs in Washington look for? The top searched job categories for Home Based Prompt Engineering jobs in Washington are:

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Re-posted 29 days ago


Job description

Must Have Skills:

We are seeking a highly skilled and innovative AI Engineer to design, develop and deploy solutions that solve complex business problems. The AI Engineer will work closely with data scientists, software engineers, business stakeholders, and product teams to build scalable AI-powered applications, Generative AI solutions, and intelligent automation platforms.

  • Design and develop Generative AI applications using Large Language Models.
  • Build Retrieval-Augmented Generation (RAG) solutions using vector databases.
  • Design cloud-native AI solutions using Amazon Bedrock / Amazon SageMaker
  • Develop autonomous AI agents using: LangChain, LangGraph, Amazon Bedrock Agents
  • Create multi-agent workflows and orchestration frameworks.
  • Integrate agents with enterprise applications and APIs.
  • Build human-in-the-loop workflows for governance and validation.
  • Develop prompt engineering frameworks and AI agents.
  • Fine-tune and customize foundation models based on business requirements.
  • Implement guardrails, governance, and responsible AI practices.
  • Deploy AI models using CI/CD pipelines and MLOps frameworks.
  • Ensure compliance with AI governance, data privacy, and security standards.
  • Implement responsible AI principles, bias detection, and explainability.
  • Strong analytical and problem-solving abilities.
  • Excellent communication and stakeholder management skills.
  • Ability to translate business requirements into AI solutions.
  • Strong collaboration and teamwork skills.
  • Continuous learning mindset with passion for emerging AI technologies.