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Remote Generative Ai Engineer Jobs in Austin, TX

Addison Group

Senior Full Stack AI Engineer

Austin, TX · Remote

$85 - $95/hr

Monday-Thursday (8 AM-5PM CST) onsite; Fridays remote. Benefits: This position is eligible for ... Design, build, and support AI-powered applications using LLMs, generative AI platforms, and agentic ...

YO AI Labs

AI Engineer - Remote

Austin, TX · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software ...

New

Cloudelligent

AWS Solutions Architect- AI/ML

Austin, TX · Remote

$64.25 - $84.25/hr

AWS Solutions Architect- AI/ML Employment Time: Full-Time This Is a fully remote position with ... Design and implement cloud solutions that integrate data engineering, Generative AI, and machine ...

YO AI Labs

Marketing & Content Expert - Remote

Austin, TX · Remote

$30 - $80/hr

Remote Job Overview We are seeking experienced Enterprise Marketing & Content Experts to evaluate ... Professional experience using generative AI or AI agents. * Strong analytical, problem-solving, and ...

New

YO AI Labs

Analytics Expert - Remote

Austin, TX · Remote

$30 - $80/hr

Remote Job Overview We are seeking experienced Business Intelligence & Analytics Experts to ... Experience using generative AI or AI agents in professional workflows. * Experience integrating BI ...

New

Huckberry

Jr. AI Process Engineer

Austin, TX · Remote

... to a remote hire. Responsibilities * Partner with our VP of Technology, Operations, Logistics ... Enhance integrations between internal systems with generative AI tooling * Write clean ...

De Circle

Etherialize - Applied AI Engineer

Austin, TX · On-site +1

We all know that software engineering is getting turned on its head. It's easy to pop open Claude ... remote environments. This role is likely not a fit if you are primarily interested in: * Pure AI ...

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Remote Generative Ai Engineer information

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$37.7K

$114.8K

$189.8K

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

As of Aug 28, 2026, the average yearly pay for remote generative ai engineer in Austin, TX is $114,846.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,300.00 and $150,200.00 per year, depending on experience, location, and employer.

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 Austin, TX?

The most popular types of Generative Ai Engineer jobs in Austin, TX are:

What are popular job titles related to Remote Generative Ai Engineer jobs in Austin, TX?

For Remote Generative Ai Engineer jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Remote Generative Ai Engineer jobs in Austin, TX look for?

The top searched job categories for Remote Generative Ai Engineer jobs in Austin, TX are:

What cities near Austin, TX are hiring for Remote Generative Ai Engineer jobs?

Cities near Austin, TX with the most Remote Generative Ai Engineer job openings:

Remote Generative Ai Engineer jobs near you

Senior Full Stack AI Engineer

Addison Group

Austin, TX • Remote

$85 - $95/hr

Contractor

Medical, Dental, Vision, Retirement

Re-posted 26 days ago

Job description

Position: Senior Full Stack AI Engineer

Location: Austin, TX - must be local and onsite 4 days per week

Duration: 6 month with potential to extend

Compensation: $85-95/HR

Work schedule: Monday-Thursday (8 AM-5PM CST) onsite; Fridays remote.

Benefits: This position is eligible for medical, dental, vision and 401(k).

Overview

We are seeking a Senior Full Stack AI Engineer to lead the design, development, and deployment of enterprise-scale AI applications. This role will drive architecture decisions, mentor engineering teams, and deliver innovative solutions leveraging Large Language Models (LLMs), cloud platforms, and modern full-stack technologies.

Key Responsibilities

  • Design, build, and support AI-powered applications using LLMs, generative AI platforms, and agentic workflows.
  • Architect and develop scalable backend services using Python and modern frameworks such as FastAPI, Flask, or Django.
  • Build and maintain responsive, user-focused applications using React, Next.js, Angular, or similar front-end technologies.
  • Design and govern APIs, microservices, authentication, and authorization solutions.
  • Develop intelligent agents, copilots, knowledge management systems, and Retrieval-Augmented Generation (RAG) solutions.
  • Integrate AI applications with enterprise systems, databases, APIs, SaaS platforms, and cloud services.
  • Establish engineering standards, conduct code reviews, and mentor team members.
  • Lead AI model evaluation, optimization, observability, and governance initiatives.
  • Ensure compliance with security, privacy, and responsible AI best practices.
  • Collaborate with business and technical stakeholders to translate requirements into scalable solutions.

Qualifications

  • Bachelor's degree in Computer Science, Mathematics, Statistics, Engineering, or a related field (Master's preferred).
  • 8+ years of software engineering experience, including 4+ years developing AI/ML products.
  • Proven experience designing and deploying enterprise-scale AI solutions.
  • Hands-on experience with cloud platforms such as Azure, AWS, or Google Cloud.
  • Experience with AI orchestration frameworks such as LangChain, LangGraph, LlamaIndex, CrewAI, or similar.
  • Strong understanding of LLMs, Generative AI, RAG architectures, prompt engineering, and AI agents.
  • Experience with relational, NoSQL, and vector databases.
  • Familiarity with model evaluation, AI governance, observability, and security practices.
  • Experience building and consuming RESTful APIs and microservices.

Technical Skills

  • Expert-level Python development.
  • Proficiency with React, Next.js, Angular, JavaScript, TypeScript, HTML, and CSS.
  • Strong API and microservices development experience.
  • Experience integrating AI models and third-party services into production applications.
  • Knowledge of CI/CD pipelines, automated testing, and source control best practices.
  • Strong troubleshooting, performance tuning, and problem-solving skills.

Leadership & Collaboration

  • Ability to lead technical initiatives and influence architecture decisions.
  • Experience mentoring engineers and promoting development best practices.
  • Strong communication skills with the ability to engage both technical and non-technical stakeholders.
  • Ability to translate complex business needs into technical solutions and engineering roadmaps.

This is an opportunity to help shape the future of AI-driven products while working across the full technology stack to deliver innovative, scalable solutions.

Addison Group is an Equal Opportunity Employer. Addison Group provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. Addison Group complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. Reasonable accommodation is available for qualified individuals with disabilities, upon request.