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Remote Generative Ai Engineer Jobs in Kansas (NOW HIRING)

Senior Data Software Engineer

Kansas, KS · On-site +1

$108K - $142K/yr

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... Understanding of Generative AI and Deep Learning frameworks. About Us NinjaOne automates the ...

$103K - $136K/yr

StackAdapt is a remote-first company; we are open to candidates located anywhere in North America ... Embrace an AI-forward culture by proactively using generative AI tools (such as ChatGPT, Claude) to ...

AI Automation Engineer -Remote

Kansas City, KS · On-site +1

$202K - $234K/yr

About the Team and Role: We're hiring our first AI Automation Engineer to lead how we apply AI ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

AI Automation Engineer -Remote

Topeka, KS · On-site +1

$202K - $234K/yr

About the Team and Role: We're hiring our first AI Automation Engineer to lead how we apply AI ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

AI Automation Engineer -Remote

Wichita, KS · On-site +1

$202K - $234K/yr

About the Team and Role: We're hiring our first AI Automation Engineer to lead how we apply AI ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

About the Team and Role: We're hiring our first AI Automation Engineer to lead how we apply AI ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

$54.50 - $74.75/hr

This is remote based role with location either in the US or Ontario, Canada. Primary ... AI Capabilities * You will architect and enable AI use cases, including embedded IFS AI offerings:

AI Automation Engineer -Remote

Pittsburg, KS · On-site +1

$202K - $234K/yr

About the Team and Role: We're hiring our first AI Automation Engineer to lead how we apply AI ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

System Engineer - Cloud

Topeka, KS · On-site +1

$61K - $76K/yr

Topeka, KS or Kansas City, MO, and Remote. PAY RANGE: System Engineer I - $61,000 - $76,300 System ... Azure AI Engineer Associate (AI-102) o Microsoft Certified: Azure Fundamentals (AZ-900) Skills ...

System Engineer - Cloud

Topeka, KS · On-site +1

$61K - $76K/yr

Topeka, KS or Kansas City, MO, and Remote. PAY RANGE: System Engineer I - $61,000 - $76,300 System ... Azure AI Engineer Associate (AI-102) o Microsoft Certified: Azure Fundamentals (AZ-900) Skills ...

$108K - $143K/yr

Partner with AI Engineering as a peer. Earn credibility through product judgment and evaluation ... Flexible Work Environment Whether remote, hybrid, or in-office, we support work arrangements that ...

$108K - $143K/yr

Partner with AI Engineering as a peer. Earn credibility through product judgment and evaluation ... Flexible Work Environment Whether remote, hybrid, or in-office, we support work arrangements that ...

Stay ahead of trends in AI-assisted engineering, agentic systems, application security, Next.js ... in a remote, cross-functional team Your 90-Day Success Path * 30 Days: Ship small full-stack ...

You'll work alongside a Staff Data Engineer (who owns the data foundation) and report to the ... site, remote, or dispersed across global networks. Our platform automates network discovery ...

$89K - $123K/yr

Remote US Company: Pictor Labs Employment Type: Full-time Responsibilities * Design, development ... Deep understanding of computer vision model architectures, particularly generative models (GANs ...

Stay ahead of trends in AI-assisted engineering, agentic systems, application security, Next.js ... in a remote, cross-functional team Your 90-Day Success Path * 30 Days: Ship small full-stack ...

Senior AI/ML Engineer

Topeka, KS · On-site +1

$98K - $135K/yr

Remote/Hybrid: This role is based remotely but if you live within a 50-mile radius of Sunnyvale, CA ... We partner closely across AI/ML engineers , Product Operations , Product Management , Data Science ...

Partner with Product and AI Engineering to define jobs-to-be-done for agent-powered workflows and ... Flexible Work Environment Whether remote, hybrid, or in-office, we support work arrangements that ...

TENEX.AI is an AI-native, automation-first, built-for-scale Managed Detection and Response (MDR ... This field-based role requires up to 50% travel to client sites, with remote work flexibility ...

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Showing results 1-20

Remote Generative Ai Engineer information

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.
What are the most commonly searched types of Generative Ai Engineer jobs in Kansas? The most popular types of Generative Ai Engineer jobs in Kansas are:
What are popular job titles related to Remote Generative Ai Engineer jobs in Kansas? For Remote Generative Ai Engineer jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Remote Generative Ai Engineer jobs in Kansas look for? The top searched job categories for Remote Generative Ai Engineer jobs in Kansas are:
What cities in Kansas are hiring for Remote Generative Ai Engineer jobs? Cities in Kansas with the most Remote Generative Ai Engineer job openings:
Senior Data Software Engineer

Senior Data Software Engineer

NinjaOne

Kansas, KS • On-site, Remote

$108K - $142K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 days ago


Job description

About the Role

At NinjaOne, we’re looking for a skilled Senior Data Engineer to join our team and help drive the future of our data infrastructure. You’ll play a critical role in building, maintaining, and scaling our systems to ensure smooth data flow, accuracy, and security across the organization. This is an exciting opportunity to work on innovative projects, collaborate with cross-functional teams, and help shape how we leverage data to fuel growth, optimize products, and drive business decisions.

Location - We are flexible on remote working from home, if you are located in the USA and reside in one of the following states - CA, CO, CT, FL, GA, *IL, KS, MA, MD, ME, NJ, NC, NY, OR, TN, TX, VA, and WA. We have physical offices in Austin, TX and Tampa, FL, if you prefer a hybrid option.

 

We hire the best software engineers, but experience in our stack can’t hurt: NinjaOne is built on Java, Kotlin, C++, Golang and Postgres; supporting millions of user endpoints and running as a scalable cloud service in AWS.  Knowing large-scale datastore bottlenecks, asynchronous application design and client-server architecture will help you.

What You’ll be Doing

  • Data Pipeline Development: Design and implement scalable data pipelines that move and transform large volumes of data from multiple sources to central data warehouses, transforming data to enable business reporting and advanced analytics.
  • Database Management: Manage and optimize the performance of relational databases, ensuring data availability, reliability, and consistency.
  • Automation & Optimization: Automate and optimize data workflows to reduce manual processes and improve efficiency in data collection, storage, and processing.
  • Monitoring & Maintenance: Ensure the integrity and security of data across systems, monitor performance, and troubleshoot any issues that arise within the data pipeline.
  • Data Visualization: Build dashboards and reports in Tableau and Databricks to expose key data points and trends to business stakeholders.
  • Collaboration: Work closely with data scientists, analysts, and other teams to gather requirements, understand data needs, and provide solutions that support data-driven decision-making.
  • Other duties as needed.

About You

  • Bachelor’s degree in Computer Science, Computer Engineering, Information Technology or equivalent work experience preferred.  
  • 10+ years of experience in software development, with a strong focus on data engineering and data science.
  • Experience in building data pipelines and managing large-scale data systems using technologies like SQL and Python.
  • Expertise in Python.  
  • Experience in cloud platforms like AWS, GCP, or Azure, and experience with tools like Airflow, Kafka or dbt for orchestrating data workflows.
  • Mastery with both relational databases including MySQL, PostgreSQL and NoSQL databases like MongoDB, Cassandra.
  • Experience with data warehousing concepts and tools such as Redshift, BigQuery, Snowflake.
  • Solid understanding of Microservices Architecture and DevOps principles.
  • Experience that will make you a standout candidate: 
    o    Previous experience working with large-scale data pipelines and machine learning models. 
    o    Understanding of Generative AI and Deep Learning frameworks.

About Us 

NinjaOne automates the hardest parts of IT to deliver visibility, security, and control over all endpoints for more than 30,000 customers. The NinjaOne automated endpoint management platform is proven to increase productivity, reduce security risk, and lower costs for IT teams and managed service providers. NinjaOne is obsessed with customer success and provides free and unlimited onboarding, training, and support. NinjaOne is #1 on G2 in endpoint management, patch management, remote monitoring and management, and mobile device management.

What You’ll Love 

We are a collaborative, kind, and curious community. 

We honor your flexibility needs with full-time work that is hybrid remote.

We have you covered with our comprehensive benefits package, which includes medical, dental, and vision insurance.

We help you prepare for your financial future with our 401(k) plan.

We prioritize your work-life balance with our unlimited PTO.

We reward your work with opportunity for growth and advancement.

Additional Information

This position is NOT eligible for Visa sponsorship. Due to federal government security requirements associated with our FedRAMP-authorized environment, candidates must be U.S. citizens or lawful permanent residents.

*Due to operational policies, NinjaOne is unable to hire for this role within the city limits of Chicago. We will consider all qualified candidates who reside outside of the city proper or are willing to self-relocate.

Starting pay for the successful applicant depends on a variety of job-related factors, including but not limited to location, market demands, experience, job-related knowledge, and skills. The benefits available for this position include medical, dental, vision, 401(k) plan, life insurance coverage and PTO.  For roles based in California, Colorado, Maryland, New Jersey, or Washington the base salary hiring range for this position is $110,000 to $200,000 per year.

For roles based in New York, the base salary hiring range for this position is $110,000 to $200,000 per year.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, marital status, veteran status, or any other status protected by applicable law. We are committed to providing an inclusive and diverse work environment.

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