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From Home Generative Ai Prompt Engineer Jobs in Ridgewood, NJ

Jobzhr

AI Prompt Engineer

Manhattan, NY · On-site

$90 - $120/hr

Design and implement RAG pipelines on Google Cloud / Vertex AI (chunking, embeddings, indexing ... Strong engineering practices: code reviews, testing, telemetry, secure-by-design, reliability ...

Citigroup, Inc.

Lead Generative AI Developer

New York, NY · On-site

$176K - $265K/yr

... agents, and prompt engineering frameworks. * Python Development: Develop robust, scalable, and ... Translate complex business requirements from COO operations stakeholders into technical AI ...

Hearst

Senior Engineer, Generative AI

New York, NY · On-site

$114K - $157K/yr

Design and develop Generative AI applications and features using modern LLM APIs and open-source ... Strong understanding of prompt engineering and LLM capabilities * A commitment to automated testing ...

Citigroup Inc.

Lead Generative AI Developer

Manhattan, NY · On-site

$177 - $265/hr

... agents, and prompt engineering frameworks. * Python Development: Develop robust, scalable, and ... Translate complex business requirements from COO operations stakeholders into technical AI ...

Thomas Talent Network

AI Agent Engineer

New York, NY · On-site

$200K - $300K/yr

About the Company A fast-growing, YC-backed seed-stage startup (founded 2024) using generative AI ... Build the voice AI infrastructure in LiveKit from the ground up * Design and own the architecture ...

TalentProof

Prompt Engineer Jobs

Manhattan, NY · On-site

$120 - $180/hr

The role is evolving from pure prompting into broader AI application engineering. What skills do Prompt Engineers need? Strong writing and analytical skills, Python programming, understanding of LLM ...

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All JobsGenerative Ai Prompt Engineer JobsFrom Home Generative Ai Prompt Engineer JobsFrom Home Generative Ai Prompt Engineer Jobs in Ridgewood, NJ

From Home Generative Ai Prompt Engineer information

See Ridgewood, NJ salary details

$30.9K

$69.4K

$116.9K

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

As of Aug 27, 2026, the average yearly pay for from home generative ai prompt engineer in Ridgewood, NJ is $69,425.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,600.00 and $75,400.00 per year, depending on experience, location, and employer.

Is a From Home Generative Ai Prompt Engineer a remote job?

A From Home Generative AI Prompt Engineer is typically a remote job, as it involves working with AI models and writing prompts that can be done from any location with internet access. Many companies in this field offer flexible or fully remote positions, often requiring skills in AI tools, programming, and communication. However, specific job requirements may vary by employer.

What cities near Ridgewood, NJ are hiring for From Home Generative Ai Prompt Engineer jobs?

Cities near Ridgewood, NJ with the most From Home Generative Ai Prompt Engineer job openings:

From Home Generative Ai Prompt Engineer jobs near you

AI Prompt Engineer / AI Application Engineer

Manhattan, NY • On-site

Afficiency
Insurance Services • 11 - 50 employees
Learn more about Afficiencyexternal

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 21 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.

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