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Home Based Prompt Engineering Jobs in Virginia (NOW HIRING)

You will be part of the Business Technology AI Engineering team, building production-grade AI ... This role is based at our headquarters in McLean, Virginia. Appian was built on a culture of in ...

You will be part of the Business Technology AI Engineering team, building production-grade AI ... This role is based at our headquarters in McLean, Virginia. Appian was built on a culture of in ...

You will be part of the Business Technology AI Engineering team, building production-grade AI ... This role is based at our ​h​eadquarters in ​McLean, Virginia. Appian was built on a culture ...

... and prompt-based solutions. * Design, develop, and fine-tune machine learning models, particularly those involving LLMs and generative AI. * Optimize and adapt prompt engineering strategies to ...

... and prompt-based solutions. * Design, develop, and fine-tune machine learning models, particularly those involving LLMs and generative AI. * Optimize and adapt prompt engineering strategies to ...

As part of our core product team, you'll work directly with large language models (LLMs), prompt engineering, and agent-based orchestration to bring intelligent automation to some of the most complex ...

As part of our core product team, you'll work directly with large language models (LLMs), prompt engineering, and agent-based orchestration to bring intelligent automation to some of the most complex ...

... and prompt-based solutions. * Design, develop, and fine-tune machine learning models, particularly those involving LLMs and generative AI. * Optimize and adapt prompt engineering strategies to ...

Enterprise Architect

Mclean, VA · On-site

$69.75 - $90/hr

Proficiency in prompt engineering, retrieval-augmented generation (RAG), agent-based approaches, multi-cloud platforms (MCP), automation-to-automation (A2A), and cloud solutions. * Expertise in ...

AI Architect/ AI Engineer

Mclean, VA · On-site

$64.75 - $85.25/hr

... based approaches and autonomous workflows. · Strong expertise in Prompt Engineering (Zero/Few-shot, Chain-of-Thought) and prompt design. · Strong Python development experience and ability to guide ...

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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.

What are the most commonly searched types of Prompt Engineering jobs in Virginia? The most popular types of Prompt Engineering jobs in Virginia are:
What job categories do people searching Home Based Prompt Engineering jobs in Virginia look for? The top searched job categories for Home Based Prompt Engineering jobs in Virginia are:
What cities in Virginia are hiring for Home Based Prompt Engineering jobs? Cities in Virginia with the most Home Based Prompt Engineering job openings:

Gen AI Engineer [Python, LLM]

Purple Drive Technologies

Mclean, VA • On-site

Full-time

Posted 9 days ago


Job description

Overview:
Job Title: Gen AI Engineer (LLM, LangChain, AI Agents)
Experience: 8-10 Years
Job Summary
We are seeking a Gen AI Engineer with strong expertise in Python, Large Language Models (LLMs), and AI agent development using LangChain.
The ideal candidate will be responsible for designing, building, and deploying AI-powered solutions, including intelligent agents, custom tools, and scalable architectures. This role requires a blend of hands-on coding, innovation, and architectural thinking to deliver cutting-edge Generative AI applications.
Key Responsibilities
AI & GenAI Development
  • Design and develop AI-powered applications using Large Language Models (LLMs)
  • Build and deploy intelligent AI agents using LangChain framework
  • Develop custom tools and integrations for AI agents (MCPs / tool-based extensions)
Architecture & Solution Design
  • Design scalable Gen AI architectures and workflows
  • Implement end-to-end solutions including:
    • Prompt engineering
    • Context management
    • Retrieval-Augmented Generation (RAG)
  • Ensure performance, scalability, and reliability of AI systems
Agent Development & Orchestration
  • Program and orchestrate multi-agent systems
  • Build custom connectors/tools for enhanced agent capabilities
  • Optimize agent performance and response quality
Innovation & Research
  • Explore and implement new advancements in Generative AI and LLM ecosystems
  • Continuously improve models, prompts, and workflows
  • Prototype innovative AI use cases and solutions
Collaboration & Delivery
  • Collaborate with cross-functional teams (Product, Data, Engineering)
  • Translate business requirements into AI-driven solutions
  • Participate in Agile development and code reviews
Required Skills & Experience
  • 8-10 years of experience in software engineering / AI development
  • Strong expertise in:
    • Python (mandatory)
    • Generative AI / LLMs
  • Hands-on experience with:
    • LangChain framework
    • AI Agent development
    • Custom tool / MCP development for agents
  • Strong understanding of:
    • Prompt engineering
    • RAG (Retrieval-Augmented Generation)
    • AI workflows and orchestration
Technical Skills
  • Programming: Python
  • Frameworks: LangChain (mandatory)
  • AI: LLMs (OpenAI, open-source models, etc.)
  • Concepts: AI Agents, RAG, Prompt Engineering
  • APIs: REST / JSON integrations