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Remote Generative Ai Engineer Jobs in Leander, 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 ...

Crowe LLP

Senior AI Engineer

Austin, TX · On-site +1

$103K - $142K/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 ...

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 ...

Mondo

Sr DevOps Engineer T4

Austin, TX · Remote

$65 - $75/hr

Remote Start Date Is: ASAP Duration: 12 Month Contract (Potential Conversion After 1 Year ... AI/ML or Generative AI project experience * Experience with Agile development methodologies

Kake Group

Senior AI Talent Sourcer

Austin, TX · Remote

... and engineering domains. In this role, you'll partner closely with recruiters and hiring ... Experience sourcing for AI training , model evaluation , generative AI , or other AI-focused ...

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All JobsGenerative Ai Engineer JobsRemote Generative Ai Engineer JobsRemote Generative Ai Engineer Jobs in Leander, TX

Remote Generative Ai Engineer information

See Leander, TX salary details

$36.3K

$110.7K

$183K

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

As of Aug 11, 2026, the average yearly pay for remote generative ai engineer in Leander, TX is $110,709.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,300.00 and $144,800.00 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?

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 Leander, TX? The most popular types of Generative Ai Engineer jobs in Leander, TX are:
What job categories do people searching Remote Generative Ai Engineer jobs in Leander, TX look for? The top searched job categories for Remote Generative Ai Engineer jobs in Leander, TX are:
What cities near Leander, TX are hiring for Remote Generative Ai Engineer jobs? Cities near Leander, TX 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 Leander, TX as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $110,709 per year, or $53.2 per hour.

Senior Full Stack AI Engineer

Addison Group

Austin, TX • Remote

$85 - $95/hr

Contractor

Medical, Dental, Vision, Retirement

Re-posted 10 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.