ZipRecruiter

Log In

2

Remote Generative Ai Engineer Jobs in Leander, TX

YO AI Labs

AI/ML Software 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 ...

OLIVER Agency - North America

Design Director

Austin, TX · On-site +1

San Francisco Bay Area or Remote (PST) About the role: We're pairing craft with AI velocity--and we ... Lead the integration of generative AI tools into creative workflows, setting quality standards and ...

OLIVER Agency - North America

Design Director

Austin, TX · On-site +1

Remote (PST) / San Francisco Bay Area About the role: We're pairing craft with AI velocity--and we ... Lead the integration of generative AI tools into creative workflows, setting quality standards and ...

Bigcommerce

Senior Software Engineer (AI Agents)

Austin, TX · On-site +1

$116K - $195K/yr

Build and extend a library of generative UI components (product cards, cart and order summaries ... REMOTE #LI-GC1 (Pay Transparency Range:$116,000.00 - $195,000.00) Compensation Transparency The ...

Feedonomics

Senior Software Engineer (AI Agents)

Austin, TX · On-site +1

$116K - $195K/yr

Build and extend a library of generative UI components (product cards, cart and order summaries ... REMOTE #LI-GC1 (Pay Transparency Range: $116,000.00 - $195,000.00) Compensation Transparency The ...

Right Side Up

GEO Consultant - eCommerce

Austin, TX · Remote

Partner with SEO, growth, content, analytics, and engineering teams to ensure GEO efforts align ... Stay ahead of emerging trends in generative search, agentic ecommerce, semantic retrieval, and AI ...

Right Side Up

GEO Consultant - eCommerce

Austin, TX · On-site +1

Partner with SEO, growth, content, analytics, and engineering teams to ensure GEO efforts align ... Stay ahead of emerging trends in generative search, agentic ecommerce, semantic retrieval, and AI ...

Right Side Up

GEO Consultant - eCommerce

Austin, TX · On-site +1

Partner with SEO, growth, content, analytics, and engineering teams to ensure GEO efforts align ... Stay ahead of emerging trends in generative search, agentic ecommerce, semantic retrieval, and AI ...

YO AI Labs

AI Trainer - Remote

Austin, TX · Remote

$80 - $120/hr

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating ...

Homeward

Senior Software Engineer - Applied AI

Austin, TX · On-site +1

$160K/yr

About The Opportunity Homeward is looking for an Applied AI Engineer to help us build AI into our ... Remote-first work environment (our headquarters are in Austin, TX). * Collaborative, low-ego team ...

YO AI Labs

AI coding agents Expert - Remote

Austin, TX · Remote

$80 - $120/hr

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating ...

previous page

Showing results 41-60

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 Sep 3, 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 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 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.

Conversational AI Engineer - Google/GECX & Code Agents

TTEC Digital

Austin, TX • Remote

Full-time

Medical, Dental, Vision, PTO

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

At TTEC Digital, we coach clients to ensure their employees feel valued, and fully supported, because an amazing customer experience is an employee first process. Our vision is the same, a place where employees know they can thrive.

As a Conversational AI Engineer specializing in Gemini Enterprise for Customer Experience (GECX), you will design, deploy, and optimize next-generation, customer-facing agentic workflows. You will work on a unified platform that bridges the gap between digital discovery (via Google Search and Maps) and front-line customer operations (chat, voice, and retail/commerce touchpoints).

You will use Customer Experience Agent Studio (CX Agent Studio) to build multi-agent applications, but your core focus will be implementing Code Agents—leveraging programmatic SDKs (such as cxas-scrapi), writing custom Python/TypeScript tool callbacks, and utilizing localized CLI workflows to programmatically structure, lint, test, and sync complex agent hierarchies. You will merge the speed of low-code visual canvas building with the absolute determinism of custom-coded logic.

What you'll be doing:
  • Develop Multi-Agent Architectures: Build and configure modular, hierarchical agent networks (Root/Steering agents and targeted Sub-agents) using a combination of the CX Agent Studio canvas and programmatic Code Agents.
  • Write Custom Code Tools & Callbacks: Program specialized backend logic, data transformation scripts, and custom tool callbacks in Python or TypeScript to extend agent capabilities beyond basic natural language prompts.
  • Leverage GECX Engineering CLI & Tooling: Run automated code-first developer workflows utilizing uv environments and the cxas CLI for structural static linting (cxas lint) and advanced semantic instruction validation (cxas llm-lint).
  • Design Generative Playbooks & Control Flows: Author and maintain structured, XML-like agent instructions (, , ) that natively hook into custom Python tools ({@TOOL: custom_script}) and sub-agent routing syntax ({@AGENT: specialized_subagent}).
  • Program Enterprise Integrations: Seamlessly hook Code Agents into live databases, product catalogs, CRMs, and CCaaS networks (e.g., Genesys, Avaya) via Model Context Protocol (MCP) or secure OpenAPI webhooks.
  • Automate Quality & Evaluation (CI/CD): Script programmatic, golden-scenario test cases and simulation evals using simulation frameworks to test multi-turn agent trajectories, preventing hallucinations and conversational regressions before sync-to-prod.
Skills and experience you will bring:
  • Bachelor’s degree in computer science, engineering field, or equivalent practical experience.
  • 3+ years of experience building conversational AI solutions, virtual agents, or programmatic AI workflows.
  • Strong proficiency in Python or TypeScript/Node.js, with hands-on experience handling complex JSON payloads, RESTful APIs, and cloud-hosted webhooks.
  • Experience utilizing Git-based developer workflows and command-line interfaces (CLIs) for software versioning and deployment.
  • Hands-on experience building with Google’s GECX Code Agent tooling (e.g., cxas-scrapi workspace/SDK, Python-based agent foundries).
  • Good technical understanding of Dialogflow CX, CX Agent Studio, or similar advanced, stateful conversational frameworks.
  • Experience deploying streaming, low-latency audio-to-audio (A2A) voice agents and integrating with telephony (SIP/RTP) or CCaaS partner environments.
  • Solid grasp of prompt engineering safety protocols, blocklists, and programmatic fallback behaviors (e.g., before_model_callback or after_tool_callback hooks).
  • Experience with BigQuery or Google Cloud Logging to programmatically extract conversation traces, search text transcripts, and build data-driven performance metrics.
#LI-BN1

This position is eligible to participate in an annual incentive program. Actual compensation offered to a candidate may vary based upon geographic location, work experience, education and/or skill levels.  
 
Benefits available to eligible employees include the following: 
- Medical, dental, vision
- tax-advantaged health care accounts
- financial and income protection benefits
- paid time off (PTO) and wellness time off.
 
This job posting will remain open until we have identified an adequate applicant pool. Applicants are strongly encouraged to apply early.
 
 
About Us
TTEC Digital and our 1,800+ employees, pioneer engagement and growth solutions that fuel the exceptional customer experience (CX). Our sister company, TTEC Engage, is a 60,000+ employee service company, with customer service representatives located around the world. TTEC Holdings Inc. is the parent company for both Digital and Engage. When clients have a holistic need, they can draw from these independently managed centers of excellence, TTEC Digital and TTEC Engage.
 
We are also delighted to share that TTEC has been awarded the Great Place To Work 2024-2025 certification based on outstanding employee experience across 14 countries.
 
TTEC is a proud equal opportunity employer where all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability. TTEC has fully embraced and is committed to expanding our diverse and inclusive workforce. We strive to reflect the communities we serve while delivering amazing service and technology centered around humanity.
 
Rarely do applicants meet all desired job qualifications, so if you feel you would succeed in the role above, please take a moment and share your qualifications.
 
#LI-Remote

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.