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Remote Generative Ai Engineer Jobs in New York (NOW HIRING)

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)

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)

Remote What is in it for you? As a Gen AI Engineer , you will design, develop, and maintain Generative AI solutions that drive intelligent automation and advanced data processing. Responsibilities:

Sr. AI Engineer

Manhattan, NY · Remote

$114K - $157K/yr

In this role, the successful AI Engineer will design, implement, and operate production-grade Generative AI and Machine Learning solutions that support NYU Langone Healths Remote Patient Monitoring ...

As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and ... While we are a remote-first company, the nature of this role requires candidates to be based in the ...

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Remote Generative Ai Engineer information

What is the difference between Remote Generative Ai Engineer vs Remote Machine Learning Engineer?

AspectRemote Generative Ai EngineerRemote Machine Learning Engineer
Required CredentialsBachelor's or higher in CS, AI, or related; experience with generative modelsBachelor's or higher in CS, Data Science, or related; experience with ML algorithms
Work EnvironmentCollaborates on AI model development, focuses on generative models like GPT, GANsDevelops and deploys ML models for various applications, including predictive analytics
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, and data-driven industries

While both roles involve AI and machine learning, a Remote Generative Ai Engineer specializes in creating models that generate content, such as text or images, using generative techniques. In contrast, a Remote Machine Learning Engineer works on a broader range of ML models for predictive or classification tasks. The roles often overlap but differ in focus and application.

What are the key skills and qualifications needed to thrive as a remote generative AI engineer?

To thrive as a Remote Generative AI Engineer, you need a solid background in computer science, machine learning, and deep learning, typically with a relevant degree and experience in building AI models. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (such as AWS or Azure), and version control systems like Git is essential. Strong problem-solving, self-motivation, and effective remote communication set outstanding engineers apart in this role. These skills are crucial for developing innovative AI solutions, collaborating across distributed teams, and delivering impactful results in a remote work environment.

How do remote generative AI engineers typically collaborate with cross-functional teams to deliver AI-driven solutions?

Remote Generative AI Engineers often work closely with data scientists, product managers, and software engineers to integrate generative AI models into products or services. Collaboration is usually facilitated through virtual meetings, code repositories, and project management tools, enabling seamless communication across different time zones. Regular check-ins and sprint reviews help ensure alignment on goals, while documentation and clear communication are essential for maintaining project momentum. This collaborative environment not only fosters innovation but also allows engineers to gain exposure to a variety of perspectives and expertise.

What is a remote generative AI engineer?

A Remote Generative AI Engineer is a technology professional who specializes in developing, training, and deploying artificial intelligence models that can generate new content—such as text, images, audio, or video—while working from a remote location. These engineers typically work with advanced machine learning techniques like deep learning, neural networks, and large language models. Their responsibilities often include designing algorithms, optimizing model performance, and collaborating with distributed teams to build innovative AI-driven solutions. The remote aspect allows them to perform their duties from anywhere with internet access, offering flexibility and access to global opportunities.
What are the most commonly searched types of Generative Ai Engineer jobs in New York? The most popular types of Generative Ai Engineer jobs in New York are:
What are popular job titles related to Remote Generative Ai Engineer jobs in New York? For Remote Generative Ai Engineer jobs in New York, the most frequently searched job titles are:
What job categories do people searching Remote Generative Ai Engineer jobs in New York look for? The top searched job categories for Remote Generative Ai Engineer jobs in New York are:
What cities in New York are hiring for Remote Generative Ai Engineer jobs? Cities in New York with the most Remote Generative Ai Engineer job openings:
Infographic showing various Remote Generative Ai Engineer job openings in New York as of August 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% Remote job distribution.

Generative AI Engineer

Afficiency

Manhattan, NY • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


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.