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Remote Ai Engineer Jobs in Georgetown, TX (NOW HIRING)

Natera

AI Engineer

Austin, TX · On-site +1

$105.70K - $132.10K/yr

AI Engineer, Provider & Oncology Innovation Location ... US Remote The Role This is a high-autonomy, high-agency position for a builder who thrives in ...

Gainwell Technologies LLC

AI Engineer, Principal

Austin, TX · Remote

$147.20K - $210.30K/yr

Summary Gainwell Technologies is seeking a highly skilled AI Engineer to design, develop, and ... Fully Remote Opportunity - Work from anywhere in the U.S. * Minimal Travel Required - Occasional ...

New

Gainwell Technologies LLC

AI Engineer, Principal

Austin, TX · Remote

$147.20K - $210.30K/yr

Summary Gainwell Technologies is seeking a highly skilled AI Engineer to design, develop, and ... Fully Remote Opportunity - Work from anywhere in the U.S. * Minimal Travel Required - Occasional ...

New

Outlier AI

OpenClaw AI Engineer (Remote)

Austin, TX · Remote

Ideal Qualifications * 2+ years of experience in backend engineering, AI automation, or complex systems integration. * Proven ability to build and maintain production-grade software with modular ...

Cardinal Health

Senior Data/AI Engineer

Austin, TX · Remote

$105K - $142.70K/yr

This role is remote and can be based anywhere within the United States. Candidates must be able to work within EST business hours (9a-5p EST). Job Summary The Senior Data/AI Engineer is a senior ...

SpotOn

Staff AI Engineer

Austin, TX · Remote

$210K - $290K/yr

If you're looking to make an impact with heart and hustle, SpotOn is the place for you. (Remote ... Be the AI engineering technical authority. You set the technical standard for how AI is used in ...

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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How much do remote ai engineer jobs pay per hour?

As of May 28, 2026, the average hourly pay for remote ai engineer in Georgetown, TX is $49.83, according to ZipRecruiter salary data. Most workers in this role earn between $40.19 and $57.84 per hour, depending on experience, location, and employer.

What is a Remote AI Engineer job?

A Remote AI Engineer is a professional who designs, develops, and deploys artificial intelligence models and systems while working from a remote location. They use machine learning, deep learning, and data science techniques to build AI-powered applications, improve automation, and solve complex problems. Responsibilities often include data preprocessing, model training, fine-tuning, and integrating AI solutions into products or services. These engineers collaborate with cross-functional teams online, using cloud-based tools and platforms for development and deployment. Remote AI Engineers typically need strong programming skills in languages like Python, experience with frameworks like TensorFlow or PyTorch, and familiarity with cloud computing and MLOps.

What are the key skills and qualifications needed to thrive in the Remote Ai Engineer position, and why are they important?

To thrive as a Remote AI Engineer, you need a strong background in machine learning, deep learning, programming (Python, TensorFlow, PyTorch), and a relevant degree in computer science or a similar field. Familiarity with cloud platforms (such as AWS, GCP, or Azure), version control systems like Git, and relevant certifications (e.g., AWS Certified Machine Learning) are beneficial. Excellent problem-solving skills, self-motivation, clear communication, and the ability to collaborate in a distributed team set exceptional candidates apart. These competencies are crucial for effectively building, deploying, and maintaining AI solutions in a remote, fast-paced environment.

What is it like collaborating with team members as a Remote AI Engineer?

As a Remote AI Engineer, collaboration typically occurs through virtual meetings, code reviews, shared documentation, and messaging platforms like Slack or Teams. You will work closely with data scientists, product managers, and software engineers to define requirements, design solutions, and integrate AI models into products or services. Strong communication and proactive reporting are highly valued to ensure project alignment and seamless progress. Effective collaboration in a remote setting not only enhances project outcomes but also fosters professional growth and a sense of team cohesion.
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Remote Ai Engineer jobs near you

AI Engineer

Natera

Austin, TX • On-site, Remote

$105.70K - $132.10K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

This job post has expired today. Applications are no longer accepted.

Natera rating

7.7

Company rating: 7.7 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

47th of 103 rated laboratories

Job description

AI Engineer, Provider & Oncology Innovation

Location: US Remote

The Role

This is a high-autonomy, high-agency position for a builder who thrives in ambiguity and wants to ship AI products that directly impact cancer care. You'll sit at the intersection of engineering, product, and design, working across all three modalities to ship products to customers. Your work will span two critical domains:

1. AI Products for Providers

Design and ship AI-powered experiences for oncologists and clinical teams. This includes exploring conversational AI experiences, building agent-based workflows that help providers navigate managing patient care, and bringing new clinical AI products to market. You'll spend meaningful time with customers to deeply understand their workflows and uncover where AI can create transformative value.

2. Commercializing Natera's AI Foundation Models

You'll be the bridge between Natera's AI research lab and the launched product. Our team has developed proprietary models that need to be brought to market and into the hands of clinicians. You'll contribute to training and post-training of these models, build the serving infrastructure, shape the user experience, and own the end-to-end deployments of these products.

What You'll Do

  • Ship zero-to-one AI products end-to-end — from customer discovery and prototyping through production deployment and iteration

  • Build agentic AI systems — design and implement autonomous and semi-autonomous workflows using LLMs, tool-use, memory, and orchestration

  • Develop AI tools that improve efficiency across clinical operations, data extraction, manual workflows, and more

  • Commercialize AI research — partner with the AI lab to take proprietary models from research prototypes and into production

  • Contribute to model training and post-training — fine-tuning, evaluation, safety testing, and optimization of Natera's proprietary oncology models

What We're Looking ForRequired

  • 5+ years of software engineering experience, with at least 2 years focused on AI/ML or LLM-powered products in production

  • Demonstrated ability to ship end-to-end — you've taken AI features or products from idea to production, ideally in a zero-to-one context

  • Strong full-stack engineering skills — proficiency in Python and modern web frameworks; you can build both the model pipeline and the user-facing product

  • Production experience with LLMs — fine-tuning, RAG, prompt engineering, agentic architectures, structured extraction, evaluation, and observability

  • High agency and autonomy — you don't wait for permission, detailed specs, or hand-holding. You unblock yourself, seek out the highest-impact work, and drive it to completion

  • Excellent communication — you can translate complex AI concepts for clinical and business stakeholders, and articulate a vision for what you're building and why

Preferred

  • Experience in healthcare, biotech, diagnostics, or pharma — especially oncology

  • Familiarity with clinical workflows, electronic health records, or provider-facing software

  • Track record of working in regulated environments (HIPAA, FDA, CLIA, CAP)

  • Background in or comfort with computational biology, genomics, or multimodal data (imaging, sequencing, clinical records)

  • Experience with AWS infrastructure, Kubernetes, MLflow, or similar ML platform tooling

  • Prior experience in a high-growth startup or zero-to-one product environment

The pay range is listed and actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations.
Remote USA
$105,700—$132,100 USD

OUR OPPORTUNITY

Natera™ is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women's health, and organ health. Our aim is to make personalized genetic testing and diagnostics part of the standard of care to protect health and enable earlier and more targeted interventions that lead to longer, healthier lives.

The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions, who care deeply for our work and each other. When you join Natera, you'll work hard and grow quickly. Working alongside the elite of the industry, you'll be stretched and challenged, and take pride in being part of a company that is changing the landscape of genetic disease management.

WHAT WE OFFER

Competitive Benefits - Employee benefits include comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents. Additionally, Natera employees and their immediate families receive free testing in addition to fertility care benefits. Other benefits include pregnancy and baby bonding leave, 401k benefits, commuter benefits and much more. We also offer a generous employee referral program!

For more information, visit www.natera.com.

Natera is proud to be an Equal Opportunity Employer. We are committed to ensuring a diverse and inclusive workplace environment, and welcome people of different backgrounds, experiences, abilities and perspectives. Inclusive collaboration benefits our employees, our community and our patients, and is critical to our mission of changing the management of disease worldwide.

All qualified applicants are encouraged to apply, and will be considered without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, age, veteran status, disability or any other legally protected status. We also consider qualified applicants regardless of criminal histories, consistent with applicable laws.

If you are based in California, we encourage you to read this important information for California residents.

Link: https://www.natera.com/notice-of-data-collection-california-residents/

Please be advised that Natera will reach out to candidates with a @natera.com email domain ONLY. Email communications from all other domain names are not from Natera or its employees and are fraudulent. Natera does not request interviews via text messages and does not ask for personal information until a candidate has engaged with the company and has spoken to a recruiter and the hiring team. Natera takes cyber crimes seriously, and will collaborate with law enforcement authorities to prosecute any related cyber crimes.

For more information:
- BBB announcement on job scams
- FBI Cyber Crime resource page

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