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Home Based Prompt Engineering Jobs (NOW HIRING)

Prompt Engineer

Jersey City, NJ · On-site

$104K - $182K/yr

Prompt Engineer LLM Interaction Design / Prompt Optimization / GenAI Application Quality Role ... S.-based positions. The starting pay range for this role is $104,904 - $182,125 per year. Actual ...

Prompt Engineer

Jersey City, NJ · On-site

$104K - $182K/yr

Prompt Engineer LLM Interaction Design / Prompt Optimization / GenAI Application Quality Role ... S.-based positions. The starting pay range for this role is $104,904 - $182,125 per year. Actual ...

Prompt Engineer

Jersey City, NJ · On-site

$104K - $182K/yr

Prompt Engineer LLM Interaction Design / Prompt Optimization / GenAI Application Quality Role ... S.-based positions. The starting pay range for this role is $104,904 - $182,125 per year. Actual ...

Prompt Engineer

Novi, MI · On-site

$76 - $99/hr

Prompt Engineer - Remote Bright Vision Technologies is a technology consulting and software ... Six or more years of software engineering experience, with significant time on LLM-based ...

New

Prompt Engineer LLM Interaction Design / Prompt Optimization / GenAI Application Quality Role ... S.-based positions. The starting pay range for this role is $104,904 - $182,125 per year. Actual ...

We are currently seeking a Prompt Engineer to join our team in Jersey City, New Jersey (US-NJ ... S.-based positions. The starting pay range for this role is [75- 85 $ range]. Actual compensation ...

Founding Prompt Engineer

New York, NY · Remote

$105K - $145K/yr

Continuously iterating based on user feedback, internal reviews and performance metrics * Ensuring ... Working closely with Product, Engineering, Customer Success and Enablement teams across US and UK

Showing results 41-60

Home Based Prompt Engineering information

See salary details

$29.5K

$66.3K

$103K

How much do home based prompt engineering jobs pay per year?

As of Aug 20, 2026, the average yearly pay for home based prompt engineering in the United States is $66,254.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,000.00 and $83,500.00 per year, depending on experience, location, and employer.

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 increasingly in demand as AI language models are integrated into various applications. Professionals with skills in prompt design, natural language processing, and familiarity with AI tools are sought after across industries, especially in remote work environments. The role often requires strong communication skills and knowledge of AI platforms like GPT or similar models.
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The top searched job categories for Home Based Prompt Engineering jobs are:

AI Prompt Engineer / AI Application Engineer

Afficiency

Manhattan, NY • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 13 days ago


Job description

Company Description

Afficiency is a rapidly growing Insurtech startup whose mission is to provide life insurance to everyone on the platforms they already trust. Located in NYC, we design life insurance products that can be purchased entirely digitally and can be easily embedded into distribution platforms or with agents who sell insurance. The company is experiencing rapid growth and is well-funded. We are looking for new team members to join us on our journey to shake up the life insurance industry. We need individuals who bring passion, curiosity, and a desire for excellence. 

Job Description

We are seeking a highly skilled AI Prompt Engineer / AI Application Engineer to design, develop, and deploy AI-driven digital solutions for Life Insurance business applications. The ideal candidate will possess strong full-stack development expertise along with hands-on experience in AI technologies, agentic workflows, prompt engineering, and Large Language Model (LLM) integrations. 

This role will focus on building real-time AI-powered applications that enhance customer experience, underwriting, servicing, claims processing, agent productivity, knowledge management, and operational efficiency. 

The successful candidate will work closely with business stakeholders, solution architects, data engineers, and digital product teams to deliver enterprise-grade AI solutions. 

This role is for someone who is based in the NYC Metro Area, passionate about building real-world GenAI applications and bringing them into production, while continuously improving performance, reliability, and user outcomes. 

Qualifications

Responsibilities

AI & Prompt Engineering 

  • Design, develop, and optimize prompts for Large Language Models (LLMs) including OpenAI Codex, GPT, Claude, Gemini, and other enterprise AI platforms. 

  • Build AI-powered workflows, copilots, virtual assistants, and intelligent agents for insurance business processes. 

  • Develop Retrieval-Augmented Generation (RAG) solutions using enterprise knowledge repositories and policy documentation. 

  • Implement prompt testing, evaluation, and optimization frameworks to improve accuracy, consistency, and reliability. 

  • Design agent-based solutions using tools, skills, plugins, function calling, workflows, and orchestration frameworks. 

  • Create reusable prompt libraries and AI solution accelerators. 

  • Monitor AI performance metrics and continuously improve model outcomes. 

Application Development 

  • Design and develop modern web applications using React.js and related frontend technologies. 

  • Build RESTful APIs and microservices using Python Flask. 

  • Integrate AI services into enterprise digital applications. 

  • Develop real-time applications supporting customer service, underwriting, policy servicing, and claims workflows. 

  • Implement authentication, security, and scalability best practices. 

Data & Integration 

  • Connect AI applications to enterprise systems through APIs and service layers. 

  • Work with structured and unstructured data sources supporting AI use cases. 

Architecture & Delivery 

  • Participate in AI solution architecture and technology selection. 

  • Conduct proof-of-concepts and rapid prototypes. 

  • Collaborate with cloud, data, and application teams. 

  • Follow DevOps, CI/CD, and Agile development practices. 

  • Maintain documentation, technical specifications, and AI governance controls

Education 

  • Bachelor's Degree in Computer Science, Information Technology, Engineering, Data Science, or related discipline. 

Experience 

  • Minimum 4+ years of software engineering experience. 

  • Minimum 2+ years developing AI-powered applications or Generative AI solutions. 

  • Experience in Life Insurance, Financial Services, or regulated industries is highly preferred. 

Technical Skills / Exposure 

  • Front-End Development 

  • React.js 

  • JavaScript / TypeScript 

  • HTML5 / CSS3 

  • Responsive UI development 

  • Backend Development 

  • Python 

  • Flask API Development 

  • REST APIs 

  • Microservices Architecture 

  • Database Technologies 

  • SQL Server, PostgreSQL, MySQL, or Oracle 

  • Database design and optimization 

  • Query performance tuning 

  • AI & Generative AI 

  • Prompt Engineering 

  • Large Language Models (LLMs) 

  • OpenAI GPT/Codex 

  • Anthropic Claude 

  • Google Gemini 

  • AI Agents and Agentic Workflows 

  • RAG (Retrieval Augmented Generation) 

  • Vector Databases 

  • Embeddings 

  • Fine-Tuning Concepts 

  • Model Evaluation Techniques 

  • Tool Calling and Function Calling 

  • AI Frameworks & Tools 

  • Claude (co-work, code and design) 

  • Microsoft Copilot Studio 

  • AI Skills and Plugin Development 

  • Workflow Orchestration Frameworks 

  • Cloud & DevOps 

  • Git/GitHub 

  • Azure DevOps 

  • CI/CD Pipelines 

Desired Competencies 

  • Strong analytical and problem-solving abilities. 

  • Ability to quickly learn emerging AI technologies. 

  • Excellent communication and stakeholder engagement skills. 

  • Strong understanding of responsible AI practices. 

  • Ability to work independently in a fast-paced environment. 

  • Strong focus on solution quality, scalability, and business outcomes. 


Additional Information

Success Criteria 

Within the first 6 months, the candidate will: 

  • Deliver production-ready AI-powered digital applications. 

  • Build reusable prompt engineering frameworks and AI accelerators. 

  • Develop real-time AI agents supporting insurance operations. 

  • Improve operational efficiency and customer experience through Generative AI solutions. 

  • Establish best practices for AI application development, governance, and monitoring. 

Benefits 

  • Competitive salary with equity options 

  • Robust health, dental, and vision benefits for employee and dependents 

  • 401k matching contributions 

  • Generous PTO policy 

  • Provided work-from-home equipment  

Afficiency is an Equal Opportunity Employer. All your information will be kept confidential according to EEO guidelines.