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Remote Generative Ai Engineer Jobs (NOW HIRING)

Huzzle

AI Engineer - Remote

Experience working with LLMs, generative AI tools, and prompt engineering. * Familiarity with ... Experience working in remote or distributed teams is a plus. Benefits Competitive salary based on ...

Peraton

Generative AI Engineering Intern (Graduate)

$17.25 - $22.25/hr

Responsibilities Peraton is seeking motivated Generative AI Engineering Interns (Graduate ... This internship provides competitive hourly compensation, flexible and remote-friendly scheduling ...

Global Alliant Inc

AI Engineer

Rockville, MD · On-site +1

AI Engineer Location: Remote/Hybrid (subject to contract requirements) Clearance: Must be eligible ... Strong experience with Python, SQL, Machine Learning, NLP, and Generative AI technologies

Global Alliant Inc

AI Engineer

Rockville, MD · Remote

$140K/yr

AI Engineer Location: Remote/Hybrid (subject to contract requirements) Clearance: Must be eligible ... Strong experience with Python, SQL, Machine Learning, NLP, and Generative AI technologies

New

Global Alliant Inc

AI Engineer

Rockville, MD · Remote

AI Engineer Location: Remote/Hybrid (subject to contract requirements) Clearance: Must be eligible ... Strong experience with Python, SQL, Machine Learning, NLP, and Generative AI technologies

New

Leggett & Platt

AI Engineer III

$58.75 - $79/hr

The AI Engineer III will help develop machine learning, generative AI, and automation solutions using Microsoft and enterprise technologies while supporting each solution from development through ...

New

Leggett & Platt

AI Engineer III

$58.75 - $79/hr

The AI Engineer III will help develop machine learning, generative AI, and automation solutions using Microsoft and enterprise technologies while supporting each solution from development through ...

Leggett & Platt

AI Engineer III

$58.75 - $79/hr

The AI Engineer III will help develop machine learning, generative AI, and automation solutions using Microsoft and enterprise technologies while supporting each solution from development through ...

Node.Digital

Senior AI/ML Engineer

Herndon, VA · On-site +1

$107K - $147K/yr

Experience with generative AI models and frameworks (LLMs, RAG architectures, prompt engineering, model fne-tuning) * Hands-on exp with OCR, ICR and OMR technologies is a must * Good programming ...

Confie

AI Engineer

Addison, TX · On-site +1

$110K - $140K/yr

Flexible work options, including remote and hybrid opportunities, if eligible * Retirement Plan ... Develop generative AI solutions for text generation, summarization, audio-to-text transcription ...

Azumo

AI Software Engineer - Remote

AI Software Engineer (Generative AI) Azumo , a leading AI Development company , is seeking a highly motivated AI Software Engineer to join our growing team of expert AI developers . We specialize in ...

GeoDelphi

Agentic AI Engineer

San Francisco, CA · Remote

Remote / Alexandria, VA Clearance: Eligibility to be cleared Are you ready to be part of a team ... Direct experience integrating generative AI models (OpenAI, Anthropic, Google Gemini, LLaMA) into ...

GDIT

AI Engineer - ICAM

WV · Remote

$103K - $123K/yr

This position is 100% remote. MEANINGFUL WORK AND PERSONAL IMPACT: This role will help establish ... Support the implementation of Generative AI solutions, Large Language Models (LLMs), Retrieval ...

Peraton

Generative AI Specialist / AI & ML Developer

$135K - $216K/yr

Remote About the Role * Peraton is seeking an experienced Generative AI Specialist to support high ... engineering, fine-tuning, and retrieval augmented generation (RAG). * Implement agentic LLM ...

Nimble Gravity

AI Engineer

AI Engineer - Generative AI & Agentic Systems We're looking for an exceptional AI Engineer to join our growing Data & AI practice and help build the next generation of AI-powered solutions. This role ...

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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.

AI Engineer - Remote

Huzzle

Remote

Full-time

Re-posted 12 days ago

Job description

About Huzzle
At Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and AI.
Unlike an outsourcing agency, we place you directly with a client where you're hired in-house as a valued member of their team.
Role Type: Full-time
Engagement: Independent Contractor
Job Summary
We are looking for a highly skilled AI Engineer to design, build, and deploy AI-driven applications and machine learning solutions. You'll work closely with product, engineering, and data teams to create intelligent systems that improve automation, customer engagement, and operational efficiency.
This role is ideal for someone passionate about artificial intelligence, large language models (LLMs), machine learning infrastructure, and production-grade AI systems.
Key Responsibilities
  • Design, develop, and deploy AI and machine learning models for real-world applications.
  • Build and optimize AI-powered tools using technologies such as OpenAI, Claude, Gemini, or open-source LLMs.
  • Develop scalable APIs and backend services for AI applications.
  • Fine-tune machine learning models and improve model performance.
  • Work with structured and unstructured datasets for training and inference.
  • Implement prompt engineering strategies and retrieval-augmented generation (RAG) pipelines.
  • Integrate AI solutions into web platforms, CRMs, and business systems.
  • Monitor AI model performance, reliability, and scalability in production.
  • Collaborate with cross-functional teams to define AI product requirements and technical roadmaps.
  • Stay updated on emerging AI technologies, frameworks, and best practices.

Requirements
  • 3+ years of experience in AI engineering, machine learning, or software engineering.
  • Strong experience with Python and AI/ML frameworks such as TensorFlow, PyTorch, LangChain, or Hugging Face.
  • Experience working with LLMs, generative AI tools, and prompt engineering.
  • Familiarity with vector databases, embeddings, and RAG architectures.
  • Knowledge of cloud platforms such as AWS, GCP, or Azure.
  • Experience building REST APIs and scalable backend systems.
  • Understanding of MLOps, model deployment, and monitoring workflows.
  • Strong problem-solving and analytical thinking skills.
  • Excellent communication and collaboration abilities.
  • Experience working in remote or distributed teams is a plus.

Benefits
Competitive salary based on experience and location
Fully remote role with flexible work environment
Work on cutting-edge AI automation projects with real business impact
Strong growth opportunity into senior AI / systems roles
Exposure to LLMs, prompt engineering, and scalable AI system design
Direct collaboration with a fast-moving, high-performance team

Apply