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From Home Generative Ai Prompt Engineer Jobs (NOW HIRING)

... prompt engineering techniques. • Implement few-shot prompting strategies for improved LLM ... Required : • Designed and developed scalable generative AI platforms for enterprise use cases ...

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 ...

AI Prompt Engineer (IRS MBI Cleared)

Greenbelt, MD · Remote

$104K - $138K/yr

AI Prompt Engineer Location: Greenbelt, Maryland Type: 6 months Contract To Hire Work Model: 100% Remote (EST hours) Security Clearance: Must have an active IRS MBI Clearance Overview System One is ...

Advanced Prompt Engineering * Structured Data Transformation, transformation rules, requirements etc. * LLM, LLM instructions * Build and Test AI workflows * AI Experience - Perplexity, ChatGPT or ...

Prompt Engineer

Mclean, VA · On-site

$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 ...

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 ...

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 ...

Generative AI Developer Plano, TX We are seeking a seasoned Generative AI Developer with expertise ... prompt engineering, AI-assisted coding tools (GitHub Copilot) * Languages: Python (scripting & AI ...

Oracel AI

Pittsburgh, PA · On-site

$54 - $72.25/hr

Hands-on experience with OCI Generative AI, prompt engineering, embeddings, vector search, retrieval-augmented generation, semantic search, and enterprise GenAI solution development. Strong ...

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

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 Aug 6, 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.
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What cities are hiring for From Home Generative Ai Prompt Engineer jobs? Cities with the most From Home Generative Ai Prompt Engineer job openings:
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Infographic showing various From Home Generative Ai Prompt Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 22% Part Time, and 4% Contract. Highlights an 79% Physical, 1% Hybrid, and 20% Remote job distribution, with an average salary of $68,617 per year, or $33 per hour.

Generative AI Engineer

MDAEdge

Austin, TX • On-site

Full-time

Re-posted 15 days ago


Job description

Job Summary:
MDAEdge is a company focusing on innovative AI solutions, and they are seeking a Generative AI Engineer. The role involves developing efficient pipelines for document processing and creating scalable AI applications while collaborating with architects and developers.
Responsibilities:
• Develop pipelines to parse documents, chunk, vectorise, and store vector data.
• Design schemas for vector stores to optimise retrieval efficiency.
• Create prompt templates using advanced prompt engineering techniques.
• Implement few-shot prompting strategies for improved LLM interactions.
• Develop semantic agents and interfaces for seamless agent collaboration.
• Build microservices and expose them as APIs for scalable solutions.
• Work closely with architects and full-stack developers to deliver AI solutions.
• Apply best practices for data management and model deployment.
• Ensure scalability and performance of generative AI applications.
Qualifications:
Required:
• Designed and developed scalable generative AI platforms for enterprise use cases.
• Built end-to-end pipelines for document parsing, chunking, vectorisation, and storage in vector databases like FAISS, Pinecone, and Chroma.
• Created and optimised vector store schemas for efficient semantic retrieval.
• Developed prompt templates using few-shot and zero-shot prompting techniques.
• Engineered semantic agents and built interfaces for agent collaboration in LLM workflows.
• Built and deployed microservices exposing LLM capabilities through scalable APIs.
Company:
The world doesn't have a talent shortage. It has a talent alignment problem. MDA Edge exists to fix that. Founded in , the company is headquartered in Sheridan, WY, US, , with a team of 51-200 employees. The company is currently Growth Stage.