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From Home Generative Ai Prompt Engineer Jobs (NOW HIRING)

XPath Solutions

Generative AI Engineer

Charlotte, NC

$60 - $72/hr

Generative AI Engineer Location Dallas, TX or Charlotte, NC or Raleigh, NC Role Overview We are ... Develop and optimize advanced prompt engineering strategies to improve LLM performance, accuracy ...

New

RapidIT, Inc

AI Architect

Manhattan, NY · On-site

$69.50 - $91.50/hr

Agent AI, Prompt Engineering, Generative AI : AI Product & Copilot Agent Specialist We are seeking a highly technical and innovative professional with deep expertise in Generative AI, Microsoft 365 ...

New

Steampunk

Prompt Engineer

Mclean, VA

$115K - $140K/yr

We are seeking a Prompt Engineer design, test, and refine interaction patterns for generative AI systems used across our client engagements. This role is central to shaping how users experience AI ...

Steampunk

Prompt Engineer

Mclean, VA · On-site

$115K - $140K/yr

Overview We are seeking a Prompt Engineer design, test, and refine interaction patterns for generative AI systems used across our client engagements. This role is central to shaping how users ...

Steampunk

Prompt Engineer

Mclean, VA

$115K - $140K/yr

Overview We are seeking a Prompt Engineer design, test, and refine interaction patterns for generative AI systems used across our client engagements. This role is central to shaping how users ...

SS&C Technologies

Key Responsibilities Generative AI & Prompt Engineering * Design, develop, and optimize ... welcome applications from under-represented groups, to enable us to bring a diversity of ...

Saransh Inc

Generative AI Architect

Charlotte, NC · On-site

$61.50 - $81/hr

Generative AI Architect Location: Charlotte, NC (Onsite from Day 1) Job Type: Contract Skill ... and prompt engineering frameworks 3. Participate in cross-functional GenAI initiatives and PoC ...

HTC Global Services

AI Engineer

Iselin, NJ · On-site

This role focuses on Generative AI, Large Language Models (LLMs), Prompt Engineering, Agentic AI ... HTC Global Services is committed to providing a workplace free from discrimination and harassment ...

Sensi.AI

Prompt Engineer

Austin, TX · On-site +1

AI Sensi.AI is transforming the world of home care through agentic AI - and we're just getting ... About the Role We are looking for a Prompt Engineer to design, optimize, and continuously improve ...

Symhas

Generative AI Lead

Pleasanton, CA · On-site

$185K/yr

You will lead a team building next-generation GenAI solutions -- from LLM-powered applications to ... Oversee prompt engineering, fine-tuning, RLHF, and model evaluation practices * Build responsible ...

Sensi.ai

Prompt Engineer

Austin, TX · On-site

AI Sensi.AI is transforming the world of home care through agentic AI - and we're just getting ... About the Role We are looking for a Prompt Engineer to design, optimize, and continuously improve ...

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From Home Generative Ai Prompt Engineer information

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$30.5K

$68.6K

$115.5K

How much do from home generative ai prompt engineer jobs pay per year?

As of Jul 17, 2026, the average yearly pay for from home generative ai prompt engineer in the United States is $68,617.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,000.00 and $74,500.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Highly experienced AI prompt engineers, especially those working in generative AI and machine learning, can earn salaries approaching or exceeding $500,000 annually, particularly in senior roles or at leading tech companies. These roles often require advanced skills in AI models, programming, and data science, along with a strong portfolio of successful projects.

How can I make 2000 a week working from home?

A From Home Generative AI Prompt Engineer can earn $2000 or more weekly by creating high-quality prompts for AI models, working on multiple projects, and building a strong portfolio. Developing skills in AI tools, prompt engineering, and understanding client needs can increase earning potential, especially with freelance platforms or direct clients. Consistent work, specialization, and effective communication are key to reaching this income level.

How much does a remote AI prompt engineer make?

A remote AI prompt engineer typically earns between $70,000 and $130,000 annually, depending on experience, skills, and the complexity of projects. Salaries can vary based on the employer, location, and whether the role is freelance or full-time, with some professionals earning higher with specialized expertise in generative AI tools and prompt engineering. Remote positions often offer competitive pay comparable to in-office roles in the tech industry.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI researcher, machine learning director, or AI startup founder, often involving advanced skills in deep learning, data science, and programming. These roles usually require extensive experience, specialized knowledge, and may include equity or performance-based compensation components.
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From Home Generative Ai Prompt Engineer jobs near you
Infographic showing various From Home Generative Ai Prompt Engineer job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $68,617 per year, or $33 per hour.

Generative AI Engineer

XPath Solutions

Charlotte, NC

$60 - $72/hr

Full-time

Posted 2 days ago

New

Job description

Generative AI Engineer
Location

Dallas, TX or Charlotte, NC or Raleigh, NC


Role Overview

We are seeking a highly skilled Generative AI Engineer with a strong Python background to design, develop, and deploy cutting-edge AI solutions. The ideal candidate will have hands-on experience with Large Language Models (LLMs), Vision Language Models (Vision LLMs/VLMs), vLLM inference framework, prompt engineering, and modern Generative AI frameworks, along with proven expertise in building scalable AI applications for enterprise use cases.

This role focuses on developing Agentic AI systems, Retrieval-Augmented Generation (RAG), multimodal AI solutions, and high-performance LLM inference while integrating GenAI capabilities into production-grade enterprise applications.


Mission

Design and deliver scalable, production-ready Generative AI solutions leveraging modern LLMs, Vision LLMs, Agentic AI frameworks, RAG architectures, and cloud AI platforms to power intelligent enterprise applications.


Key Responsibilities
Design and implement Generative AI solutions for:
  • Text-based AI applications
  • Image-based AI applications
  • Vision Language Models (Vision LLMs)
  • Multimodal AI applications
AI Engineering
  • Develop and optimize advanced prompt engineering strategies to improve LLM performance, accuracy, and reliability.
  • Build and integrate embedding-based retrieval systems and Retrieval-Augmented Generation (RAG) pipelines.
  • Design and implement Agentic AI applications including:
    • Context management
    • Session and memory handling
    • MCP (Model Context Protocol)
    • Tool calling and workflow orchestration
  • Deploy and optimize vLLM for high-throughput, low-latency LLM inference in production environments.
  • Build scalable APIs using Python and integrate GenAI capabilities into enterprise applications and workflows.
  • Collaborate with cross-functional teams to deploy AI solutions at scale.
  • Ensure AI solutions are secure, scalable, reliable, and production-ready.

Required Qualifications
Programming
  • Strong proficiency in Python
AI / Machine Learning
  • Solid experience with AI/ML frameworks including:
    • PyTorch
    • TensorFlow
Agentic AI

Hands-on experience building multi-agent AI systems, including:

  • Session management
  • Memory handling
  • MCP (Model Context Protocol)
  • Tool integration and orchestration
Large Language Models

Practical experience with:

  • Large Language Models (LLMs)
  • Vision Language Models (Vision LLMs / VLMs)
  • Transformer architectures
  • Hugging Face ecosystem
  • vLLM for optimized LLM serving and inference
Retrieval & Search

Experience with:

  • Vector databases
  • Embeddings
  • Retrieval-Augmented Generation (RAG)
  • Semantic Search
Cloud AI Platforms

Experience with one or more:

  • AWS SageMaker
  • Azure OpenAI
  • Google Vertex AI
MLOps
  • Understanding of MLOps and LLMOps practices
  • Experience deploying scalable AI applications in production

Preferred Qualifications
  • Experience with multimodal AI systems combining text, images, and documents
  • Knowledge of AI ethics, including:
    • Bias mitigation
    • Responsible AI practices
  • Experience designing AI systems with governance, transparency, and compliance in mind
  • Experience with distributed GPU inference, model optimization, quantization, and high-performance AI serving
  • Familiarity with frameworks such as LangChain, LangGraph, LlamaIndex, CrewAI, or AutoGen