ZipRecruiter

Log In

2

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

VeeRteq Solutions Inc.

Gen AI Engineer

New York, NY · Remote

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:

Arize AI

Forward Deployed AI Engineer, East

New York, NY · On-site +1

$155K - $190K/yr

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 ...

Carlyle

Data & AI Engineer

New York, NY · On-site +1

$125K - $150K/yr

... generative AI applications across the firm. The role requires deep, hands-on expertise across modern data engineering and applied AI engineering. The Data & AI Engineer will implement retrieval ...

Hirevouch

AI Engineer

Manhattan, NY · On-site +1

We're seeking exceptional software developers with expertise in generative AI (GAI) to join our team. As a software developer in GAI, you'll work on innovative projects, leveraging your quantitative ...

Crowe LLP

Senior AI Engineer

New York, NY · On-site +1

$114K - $157K/yr

We offer unlimited PTO, a flexible remote work policy, and a supportive environment that ... Research new generative AI, machine learning, and cloud technologies to evaluate applicability to ...

Motorola

Senior AI Engineer (US Remote)

New York, NY · Remote

$180K - $210K/yr

The Product Engineering area is responsible for designing, writing, testing and deploying the code ... Based in Sydney with hybrid flexibility, you'll work at the forefront of generative AI, building ...

Adidev Technologies Inc

AI/ML Developer

Manhattan, NY · Remote

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced ... Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ...

Guardianlife

Lead AI Engineer

Holmdel, NJ · On-site +1

$118K - $195K/yr

... AI and Generative AI solutions that drive innovation and operational excellence across the ... Experience working with remote teams in a matrixed environment * Mentor junior team members and ...

Mondo

AI Engineer

Manhattan, NY · Remote

$85 - $110/hr

Remote (U.S. candidates working EST hours) Start Date Is: ASAP Duration: 6 Month Contract ... Contribute to AI engineering standards and technical best practices. * Write clean, scalable ...

next page

Showing results 1-20

All JobsGenerative Ai Engineer JobsRemote Generative Ai Engineer JobsRemote Generative Ai Engineer Jobs in New York

Remote Generative Ai Engineer information

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 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 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.

How much does a remote generative AI engineer make?

A remote generative AI engineer typically earns between $100,000 and $160,000 annually, depending on experience, skills, and the company's location. Senior roles or those with specialized expertise in machine learning and deep learning can command higher salaries, especially with proficiency in tools like TensorFlow or PyTorch.

What are the best remote generative AI engineer jobs?

Remote generative AI engineer jobs are available across technology companies, research institutions, and startups, often requiring skills in machine learning frameworks like TensorFlow or PyTorch and experience with natural language processing or computer vision. These roles typically involve developing and deploying AI models remotely, with some positions offering flexible schedules and requiring certifications or advanced degrees in computer science or related fields.

What is the average salary of a remote generative AI engineer?

The average salary for a remote generative AI engineer typically ranges from $100,000 to $150,000 annually, depending on experience, skills in machine learning frameworks, and the complexity of projects. Senior roles or those with specialized expertise in deep learning and large language models can earn higher compensation. Remote positions often offer competitive pay comparable to on-site roles in the tech industry.

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:

Remote Generative Ai Engineer jobs near you
Infographic showing various Remote Generative Ai Engineer job openings in New York as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 69% Physical, 4% Hybrid, and 27% Remote job distribution.

Gen AI Engineer

VeeRteq Solutions Inc.

New York, NY • Remote

Contractor

Re-posted 9 days ago

Job description

Gen AI Engineer

Experience:
6+ Years

Location:
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:-

  • Must have 4–6 years in applying Machine Learning and Predictive Modeling to maximize outcomes or identify best approaches.

  • Must have deep expertise with Generative AI and Agentic AI.

  • Healthcare/health services sector experience preferred.

  • Extended work experience in software development and collaboration across teams.

  • Possess a passion for developing methods to discover solutions using large data sets and working with stakeholders to improve business outcomes.

  • Possess a drive to learn and master new technologies and techniques.

  • Advanced proficiency in Python & PyTorch to manipulate large datasets, train or evaluate AI/ML models.

  • Experience designing, conducting, analyzing, and interpreting experiments and investigations.

  • Strong problem solving, critical thinking, creativity, organizational, design, interpersonal, and communication (written, verbal, and listening) skills.

  • Fluent in English (both verbal and written).

  • Ability to work with a wide range of stakeholders, functional teams, and all levels of engineers.

  • Confirmed ability to handle multiple projects with strict deadlines.

Educational Qualifications:-

  • Advanced degree (Ph.D. or M.S. with at least three years of relevant research experience) in Statistics, Applied Mathematics or Data Science, Computer Science, or a related field.

  • Technical certification in multiple technologies is desirable.

Mandatory Skills:-

  • Search – retrieval, vector DB, RAG

  • Data extraction/parsing – OCR, GenAI-based data extraction from unstructured documents (PDFs, PNGs, texts, etc.)

  • Model/Agent evaluation frameworks – Text2SQL evaluation, RAG evaluation