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Remote Intelligent Systems Engineering Jobs in Kansas

StackAdapt

$61K - $79K/yr

... intelligent systems, working across LLM-powered features, agentic workflows, and the data and ... Learn more about our engineering culture here: StackAdapt is a remote-first company; we are open to ...

Motorola

$80K - $95K/yr

Our Engineering department is seeking a QA Engineer to join our growing organization. Our ... Perform computer system setup, software installation and configuration, and peripheral equipment ...

Finite State

Remote, U.S. - based Department: GTM Ops The Opportunity Agent Systems Engineer is what we call this role. You may know it as GTM Engineer, Revenue Systems Engineer, Growth Engineer, or internal ...

Epiq

Lead AI Software Engineer

Overland Park, KS · On-site +1

... systems-not just writing code, but designing intelligent solutions that drive automation ... Apply prompt engineering techniques to optimize model interactions and outcomes. * Ensure ...

Epiq

Lead AI Software Engineer

Kansas City, KS · Remote

... systems-not just writing code, but designing intelligent solutions that drive automation ... Apply prompt engineering techniques to optimize model interactions and outcomes. * Ensure ...

Epiq

Lead AI Software Engineer

Overland Park, KS · Remote

... systems-not just writing code, but designing intelligent solutions that drive automation ... Apply prompt engineering techniques to optimize model interactions and outcomes. * Ensure ...

Harris

... engineering role. * Strong proficiency in core GIS principles, including coordinate systems ... Remote work and more! About DataVoice: DataVoice International's integrated utility management ...

Harris

... engineering role. * Strong proficiency in core GIS principles, including coordinate systems ... Remote work and more! About DataVoice: DataVoice International's integrated utility management ...

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Remote Intelligent Systems Engineering information

What is the difference between Remote Intelligent Systems Engineering vs Remote Robotics Engineering?

AspectRemote Intelligent Systems EngineeringRemote Robotics Engineering
Required CredentialsBachelor's/Master's in Engineering, Computer Science, or related fields; knowledge of AI, machine learning, and systems integrationBachelor's/Master's in Mechanical, Electrical, or Robotics Engineering; knowledge of control systems, sensors, and automation
Work EnvironmentPrimarily software-focused, designing and developing intelligent systems remotelyCombination of software and hardware tasks, often involving remote collaboration on robotic systems
Industry UsageUsed across AI, automation, and software development companiesCommon in manufacturing, automation, and research institutions

Remote Intelligent Systems Engineering focuses on designing and developing software-driven intelligent systems, while Remote Robotics Engineering emphasizes both hardware and software aspects of robotic systems. Both roles require technical expertise and are prevalent in tech and industrial sectors, but they differ mainly in their focus on software versus hardware components.

What are the key skills and qualifications needed to thrive as a Remote Intelligent Systems Engineer, and why are they important?

To thrive as a Remote Intelligent Systems Engineer, you need a strong background in systems engineering, programming (such as Python, C++, or Java), and AI/machine learning principles, often supported by a relevant degree in engineering or computer science. Familiarity with tools like MATLAB, TensorFlow, ROS (Robot Operating System), and cloud-based platforms is typically required, along with certifications in AI or systems engineering. Strong problem-solving abilities, communication skills, and self-motivation are essential soft skills for remote collaboration and project success. These qualifications and skills are crucial for designing, implementing, and maintaining complex intelligent systems while effectively collaborating with distributed teams.

What are some common challenges faced by professionals in Remote Intelligent Systems Engineering, and how can they be addressed?

Professionals in Remote Intelligent Systems Engineering often encounter challenges such as coordinating with distributed teams across different time zones, ensuring secure and reliable remote system operations, and maintaining effective communication during troubleshooting or system updates. To address these issues, engineers typically rely on robust collaboration tools, establish clear communication protocols, and schedule regular virtual meetings. Additionally, staying updated on best practices for cybersecurity and remote monitoring helps ensure smooth operation and rapid response to potential issues.

What is Remote Intelligent Systems Engineering?

Remote Intelligent Systems Engineering refers to the design, development, and maintenance of intelligent systems—such as AI-driven automation, robotics, or smart devices—while working from a remote location. Professionals in this field use advanced technologies to create systems that can perceive, learn, and make decisions, often collaborating with team members and clients virtually. This role typically requires expertise in artificial intelligence, machine learning, software engineering, and remote collaboration tools. The flexibility of remote work allows engineers to contribute to complex projects from anywhere, making it a popular choice in today's global tech industry.
What are popular job titles related to Remote Intelligent Systems Engineering jobs in Kansas? For Remote Intelligent Systems Engineering jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Remote Intelligent Systems Engineering jobs in Kansas look for? The top searched job categories for Remote Intelligent Systems Engineering jobs in Kansas are:
What cities in Kansas are hiring for Remote Intelligent Systems Engineering jobs? Cities in Kansas with the most Remote Intelligent Systems Engineering job openings:
Remote Intelligent Systems Engineering jobs near you

Staff Quality Engineer

StackAdapt

Remote

$61K - $79K/yr

Other

Posted 15 days ago

Job description

StackAdapt is seeking a talented Staff Quality Engineer to join the Automation and Intelligence Pillar pod, the group building StackAdapt's AI and agentic products. As the most senior quality engineer on the team, you will set the technical direction for how we test, evaluate, and ship intelligent systems, working across LLM-powered features, agentic workflows, and the data and tooling that support them. This is a hands-on, individual-contributor leadership role: you will lead the effort to design quality strategy for non-deterministic AI systems, build the frameworks and harnesses that make those systems testable, and raise the quality bar across a fast-moving, cross-functional agile environment. Your work will directly affect the success of product releases, accelerate our defect detection and prevention capabilities, and help define what quality means for AI at StackAdapt.

Learn more about our engineering culture here: https://www.youtube.com/watch?v=LXM2NrkhKZc

StackAdapt is a remote-first company; we are open to candidates located anywhere in Canada and the United States for this position.

What You'll Be Doing:
  • Own and drive the end-to-end quality strategy for the Automation and Intelligence Pillar pod's AI such as our Ivy product, from test architecture through release readiness
  • Design and build evaluation frameworks for non-deterministic systems, including LLM output quality, agent behaviour, regression detection, and guardrail/safety testing
  • Develop reliable, scalable automated test suites and tooling that address functional, system, API, integration, UI, and regression testing, and integrate them into our CI/CD pipeline
  • Establish quality metrics and benchmarks (accuracy, latency, cost, hallucination/failure rates) that give the team confidence to ship and inform data-driven decisions
  • Partner closely with Engineering Managers, Product Managers, Designers, ML/Data Science, and other engineering teams to align requirements, priorities, and definitions of done
  • Act as a technical mentor and force multiplier across the QE org, promoting QE best practices, driving process improvements, and levelling up testing for AI systems company-wide
  • Participate in technical planning, code review, and architectural decision-making, advocating for testability and reliability from the design stage
  • Provide timely, actionable test result feedback to the Automation and Intelligence Pillar pod, the QA team, and other relevant stakeholders
What You'll Bring to the Table:
  • 7+ years of professional, hands-on software quality and test automation experience, with a track record of setting technical direction on complex systems
  • Deep, hands-on experience with API & UI test automation frameworks such as Playwright, Cypress, Jest, or Junit
  • Fluency in at least one of TypeScript, JavaScript, Python, or Java with preference for TypeScript
  • Experience testing AI/agentic systems (evals, prompt/regression testing, output validation) and using AI to scale automation (test generation, self-healing tests, failure triage) with technologies such as OpenAI, Anthropic
  • Experience with CI/CD tools like Jenkins, Github Actions, or CircleCI
  • Strong understanding of scalable system design for web-based APIs and backend processing systems
  • In-depth understanding of QA methodologies in a software company with fast release cycles
  • Proven ability to define test case design standards and coverage strategy such as edge/negative, compatibility, performance and concurrency scenarios  and to own a test case management practice (e.g. TestRail) that others build on
  • Knowledge of React, including but not limited to adding data-testids
  • Ability to explore a codebase and use technical tools to gain an understanding of technical implementation
  • Experience coaching and influencing cross-functional teams on tooling, testing plans and strategies, and guiding them through execution

Apply