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Remote Generative Ai Engineer Jobs (NOW HIRING)

Merican

Full Stack AI Engineer (Generative AI)

Remote About the Role We are seeking a highly skilled Full Stack AI Engineer to design, develop ... GraphQL (preferred) Generative AI * OpenAI API * Anthropic Claude API * Google Gemini * Azure ...

Afficiency

Generative AI Engineer

Manhattan, NY · On-site +1

As a Generative AI Engineer at Afficiency, you will be responsible for designing, developing and deploying Generative AI solutions that enhance our core product platforms and client implementations.

Afficiency

Generative AI Engineer

Manhattan, NY · On-site +1

As a Generative AI Engineer at Afficiency, you will be responsible for designing, developing and deploying Generative AI solutions that enhance our core product platforms and client implementations.

Huzzle

AI Engineer - Remote

You will work closely with product, engineering, and data teams to design intelligent systems ... This is an exciting opportunity for someone passionate about machine learning, generative AI, LLMs ...

Mutual of Omaha

AI Engineer - Remote

Omaha, NE · Remote

AI Engineer - Remote Apply now Job no: 504788 Work type: Full Time Regular Location: Nebraska ... This role calls for a multifaceted expert with deep knowledge of Machine Learning, Generative AI ...

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:

Innowhyte Inc

We are hiring an AI Engineer specializing in LLMs (Large Language Models), Retrieval Augmented ... Develop Generative AI solutions, including chatbots, summarization, and content creation tools.

Legrand North America

Lead AI Engineer

$104K - $138K/yr

This is a remote position. This is a senior, hands-on leadership role at the intersection of ... Collaborate with the Director of Generative AI to design end-to-end AI solution architectures ...

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AI Engineer (Remote)

Austin, TX · On-site +1

Remote Virtual, work-from-home position. Work anywhere in the US, must live in the US ABOUT ... You are fluent in the full generative AI stack-LLMs, embeddings, vector databases, semantic search ...

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AI Engineer (Remote)

Austin, TX · Remote

Remote Virtual, work-from-home position. Work anywhere in the US, must live in the US ABOUT ... You are fluent in the full generative AI stack-LLMs, embeddings, vector databases, semantic search ...

Continued

AI Engineer (Remote)

Austin, TX · Remote

Remote Virtual, work-from-home position. Work anywhere in the US, must live in the US ABOUT ... You are fluent in the full generative AI stackLLMs, embeddings, vector databases, semantic ...

Lorven Technologies

Lead AI Engineer

$104K - $138K/yr

Remote Full-Time Role Overview: As an AI Engineer at you will design, build, and deploy production ... Implement machine learning models (classification, regression, NLP, time-series, generative AI)

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Remote Generative Ai Engineer information

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$38K

$115.9K

$191.5K

How much do remote generative ai engineer jobs pay per year?

As of Jul 22, 2026, the average yearly pay for remote generative ai engineer in the United States is $115,864.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,000.00 and $151,500.00 per year, depending on experience, location, and employer.

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, and why are they important?

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.
More about Remote Generative Ai Engineer jobs
What cities are hiring for Remote Generative Ai Engineer jobs? Cities with the most Remote Generative Ai Engineer job openings:
What are the most commonly searched types of Generative Ai Engineer jobs? The most popular types of Generative Ai Engineer jobs are:
What states have the most Remote Generative Ai Engineer jobs? States with the most job openings for Remote Generative Ai Engineer jobs include:
What job categories do people searching Remote Generative Ai Engineer jobs look for? The top searched job categories for Remote Generative Ai Engineer jobs are:
Remote Generative Ai Engineer jobs near you
Infographic showing various Remote Generative Ai Engineer job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 100% Remote job distribution, with an average salary of $115,864 per year, or $55.7 per hour.
Full Stack AI Engineer (Generative AI)

Full Stack AI Engineer (Generative AI)

Merican

Remote

Full-time

Posted 3 days ago

New

Job description

Role: Full Stack AI Engineer (Generative AI)
Location: Remote
About the Role
We are seeking a highly skilled Full Stack AI Engineer to design, develop, and deploy next-generation AI-powered enterprise applications. The ideal candidate will have strong experience in full-stack software development combined with expertise in Generative AI, AI Agents, Retrieval-Augmented Generation (RAG), and Large Language Models (LLMs).
You will work closely with product managers, architects, and business stakeholders to build intelligent applications that automate workflows, enhance productivity, and deliver exceptional user experiences.
Key Responsibilities
  • Design, develop, and maintain scalable full-stack web applications.
  • Build AI-powered applications leveraging Large Language Models (LLMs) such as OpenAI GPT, Anthropic Claude, Google Gemini, and open-source models.
  • Develop intelligent AI Agents capable of planning, reasoning, and executing multi-step tasks.
  • Design and implement Retrieval-Augmented Generation (RAG) architectures using enterprise data sources.
  • Integrate AI capabilities into existing Java, .NET, or Node.js enterprise applications.
  • Develop RESTful APIs and microservices using Python (FastAPI/Flask) or Node.js.
  • Build responsive frontend applications using React.js, Next.js, or Angular.
  • Implement vector search solutions using Pinecone, Weaviate, ChromaDB, Milvus, or FAISS.
  • Optimize prompts, embeddings, context retrieval, and AI workflows for accuracy and performance.
  • Integrate enterprise systems including Microsoft Graph, Salesforce, ServiceNow, Jira, SharePoint, and other SaaS platforms.
  • Develop secure, scalable cloud-native applications on AWS, Azure, or Google Cloud Platform.
  • Containerize applications using Docker and deploy through Kubernetes and CI/CD pipelines.
  • Monitor AI application performance, latency, token usage, and model quality.
  • Follow AI governance, responsible AI, and security best practices.

Required Skills
Frontend
  • React.js / Next.js
  • TypeScript / JavaScript
  • HTML5, CSS3
  • Tailwind CSS / Material UI

Backend
  • Python (FastAPI, Flask, Django)
  • Java (Spring Boot) or
  • .NET Core (ASP.NET Core) or
  • Node.js (Express/NestJS)
  • REST APIs
  • GraphQL (preferred)

Generative AI
  • OpenAI API
  • Anthropic Claude API
  • Google Gemini
  • Azure OpenAI
  • Prompt Engineering
  • Function Calling
  • Structured Outputs
  • AI Agent Development
  • Multi-Agent Systems
  • Model Context Protocol (MCP)

AI Frameworks
  • LangChain
  • LangGraph
  • LlamaIndex
  • CrewAI or AutoGen (preferred)
  • Semantic Kernel (preferred)

RAG & Search
  • Retrieval-Augmented Generation (RAG)
  • Vector Databases
    • Pinecone
    • Weaviate
    • Milvus
    • Chroma
    • FAISS
  • Embeddings
  • Semantic Search

Databases
  • PostgreSQL
  • MySQL
  • SQL Server
  • MongoDB
  • Redis

Cloud & DevOps
  • AWS / Azure / GCP
  • Docker
  • Kubernetes
  • GitHub Actions
  • Azure DevOps
  • CI/CD Pipelines
  • Terraform (preferred)

Preferred Qualifications
  • Experience building enterprise AI Copilots and AI Assistants.
  • Experience developing Agentic AI solutions.
  • Hands-on experience with Microsoft Copilot Studio or Azure AI Foundry.
  • Experience integrating Databricks, Snowflake, or Microsoft Fabric with AI applications.
  • Familiarity with AI observability tools such as LangSmith, Arize AI, or PromptLayer.
  • Knowledge of AI security, responsible AI, and model governance.
  • Experience working in Agile/Scrum environments.
Merican logo

About Merican

Sourced by ZipRecruiter

Merican is a IT Service consulting firm, specialized in Digital adoption and Business automation. With our diverse collection of skilled and committed consultants, technology companies, businesses and digital experts, we provide our subject expertise and our unique client service approach, a best-in-class global model of delivery suited to the business demands of our clients. We ensure that we implement future-oriented solutions for our clients via investments in people, solutions, technologies, competencies and infrastructure.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Columbia , MD, US

Year founded

2020

Social media

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