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Ai Human Computer Interaction Jobs in Missouri (NOW HIRING)

AI Engineer II

Saint Louis, MO

$91K - $125K/yr

Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or a related ... Understanding of responsible AI concepts, including transparency, human oversight, security, and ...

... human progress. With a strong commitment to technological excellence and innovation, VinMotion is ... Mechatronics, Computer Science, or a related field. Experience 2+ years of experience in AI ...

New

$50/hr

Sony AI is Sony's new research organization pursuing the mission to use AI to unleash human ... Master's degree in Computer Science , Electrical Engineering, Applied Mathematics, or related ...

$50/hr

Sony AI is Sony's new research organization pursuing the mission to use AI to unleash human ... Master's degree in Computer Science , Electrical Engineering, Applied Mathematics, or related ...

Bachelor's degree in Computer Science, Computational Linguistics, Mathematics, or equivalent ... Deep knowledge of prompt evaluation methodologies (ROUGE, BLEU, Human-in-the-loop) and experience ...

Showing results 41-60

Ai Human Computer Interaction information

What is AI human computer interaction?

AI Human-Computer Interaction (AI HCI) is a multidisciplinary field that explores how artificial intelligence can enhance the ways humans interact with computers and digital systems. This includes designing user interfaces, developing intelligent agents, and creating systems that can understand and respond to human behavior in natural and intuitive ways. The goal is to make technology more accessible, efficient, and responsive by integrating AI into the user experience. Professionals in this field often work on voice assistants, adaptive interfaces, and personalized user experiences.

What are some common challenges faced by AI human computer interaction professionals when integrating AI systems into user-facing products?

AI Human-Computer Interaction (HCI) professionals often encounter challenges such as ensuring that AI-driven interfaces are intuitive and transparent for users, addressing potential biases in AI responses, and managing users’ trust in automated systems. Balancing technical accuracy with user experience is crucial, as overly complex AI features can overwhelm users while oversimplification may limit functionality. Collaboration with designers, engineers, and user researchers is key to iteratively refining AI interfaces based on user feedback and behavior.

What are the key skills and qualifications needed to thrive as an AI human computer interaction specialist, and why are they important?

To thrive as an AI Human-Computer Interaction Specialist, you need expertise in user experience (UX) design, human-centered computing, programming, and a solid understanding of AI principles, often supported by a degree in computer science, HCI, or a related field. Familiarity with prototyping tools (like Figma or Sketch), usability testing platforms, programming languages (such as Python or JavaScript), and knowledge of AI frameworks (like TensorFlow or PyTorch) is typically required. Strong communication, empathy, and problem-solving skills help you effectively translate complex technical requirements into intuitive user experiences. These competencies are essential for designing AI systems that are both technically robust and user-friendly, ensuring successful adoption and satisfaction.

What is the difference between Ai Human Computer Interaction vs Human Factors Specialist?

AspectAi Human Computer InteractionHuman Factors Specialist
Required CredentialsDegree in HCI, Computer Science, or related fields; experience with AI and user interface designDegree in Psychology, Human Factors, or Ergonomics; certifications in usability testing
Work EnvironmentTech companies, research labs, user experience teamsHealthcare, aerospace, manufacturing, consulting firms
Industry UsageAI development, software design, interactive systemsProduct design, safety analysis, usability improvement

While both roles focus on optimizing human interaction with systems, Ai Human Computer Interaction specialists primarily work on designing AI-driven interfaces and understanding user-AI interactions. Human Factors Specialists focus on improving overall usability and safety across various industries. The roles often overlap in user research but differ in technical focus and application areas.

Is AI human computer interaction a good career?

AI Human-Computer Interaction is a growing field focused on designing systems that improve user experience with artificial intelligence. It combines skills in computer science, psychology, and design, often requiring knowledge of programming languages and user research. The career offers opportunities in technology companies, research institutions, and startups with increasing demand for expertise in user-centered AI systems.

Is AI human computer interaction in demand?

AI Human-Computer Interaction is a growing field as organizations seek to improve user experience and develop more intuitive interfaces. Demand for professionals with skills in user-centered design, machine learning, and interface development is increasing across technology sectors. This trend is driven by advancements in AI technologies and the need for more natural, accessible interactions.

What jobs can you get with a human computer interaction degree?

A degree in human computer interaction (HCI) can lead to roles such as user experience (UX) designer, usability analyst, interaction designer, or human factors specialist. These jobs involve designing and improving interfaces, conducting user research, and applying skills in psychology, design, and technology to enhance user experience.

What are popular job titles related to Ai Human Computer Interaction jobs in Missouri?

For Ai Human Computer Interaction jobs in Missouri, the most frequently searched job titles are:

What cities in Missouri are hiring for Ai Human Computer Interaction jobs?

Cities in Missouri with the most Ai Human Computer Interaction job openings:

Infographic showing various Ai Human Computer Interaction job openings in Missouri as of June 2026, with employment types broken down into 74% Full Time, 21% Part Time, and 5% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.

AI Engineer II

McCarthy Holdings, Inc.

Saint Louis, MO

$91K - $125K/yr

Full-time

Re-posted 20 days ago


Job description

POSITION SUMMARY

McCarthy is seeking a full-time AI Engineer II who will be part of the Engineering and Intelligence team. In this role, you will design, build, and support AI-powered applications and workflows that help drive business value across the enterprise.

Working closely with the AI Manager, business stakeholders, and fellow engineers, you will contribute to the development of production-grade AI solutions, including generative AI, agentic workflows, advanced analytics, and enterprise integrations. This is a hands-on engineering role focused on implementation, experimentation, deployment, and continuous improvement of AI capabilities.

The ideal candidate combines strong software engineering fundamentals with experience in AI and data-driven applications. Experience working within Palantir Foundry, including ontology-driven development, data products, operational workflows, and AI-enabled solutions, is strongly preferred.

RESPONSIBILITES

  • Design, develop, test, and maintain AI-powered applications, services, and workflows that support enterprise business processes.
  • Build and support generative AI and agentic solutions using modern AI engineering practices and frameworks.
  • Develop and maintain data pipelines, integrations, and reusable data products that enable AI and analytics use cases.
  • Contribute to the design and evolution of data models and ontologies that support operational and analytical workflows.
  • Develop and optimize prompts, retrieval strategies, and agent workflows to improve solution effectiveness, reliability, and user experience.
  • Leverage AI-assisted development tools and coding copilots to accelerate delivery while maintaining high standards for code quality, testing, security, and maintainability.
  • Participate in MLOps and PromptOps processes, including deployment, monitoring, evaluation, versioning, and continuous improvement of AI systems.
  • Collaborate with business and technical stakeholders to translate business requirements into practical technical solutions.
  • Support production AI solutions through troubleshooting, performance tuning, monitoring, and ongoing enhancement activities.
  • Contribute to documentation, reusable patterns, and engineering best practices that improve team effectiveness and solution consistency.
  • Follow established AI governance, security, and Responsible AI standards throughout the solution lifecycle.

    QUALIFICATIONS

    • Minimum 3 years of experience in software engineering, AI engineering, machine learning, data engineering, or a related technical discipline.
    • Bachelor’s degree in Computer Science, Engineering, Data Science, Information Systems, or a related field (or equivalent practical experience).
    • Experience building and deploying AI-enabled applications or machine learning solutions in production environments.
    • Strong programming skills in Python and experience with modern software engineering practices.
    • Data pipelines, ETL/ELT processes, and API-based integrations
    • SQL and relational data modeling
    • Cloud platforms such as Azure, AWS, or GCP
    • Containerized and serverless application deployment patterns
    • Building solutions on enterprise AI and data platforms such as Palantir Foundry, Azure AI, AWS, GCP, or Dataiku.
    • Generative AI platforms and frameworks such as OpenAI, Anthropic, LangChain, LlamaIndex, Hugging Face, or similar technologies.
    • Prompt engineering, evaluation methodologies, and retrieval-augmented generation (RAG) patterns.
    • Experience with Palantir Foundry is strongly preferred, including familiarity with:
      • Ontology-driven application development
      • AIP and AI-enabled workflows
      • Data products and pipeline development
      • Workshop applications and operational workflows
      • Code Repositories and software delivery within Foundry environments
      • Understanding of responsible AI concepts, including transparency, human oversight, security, and governance practices.

      CHARACTERISTICS

      • Strong problem-solving and analytical skills with the ability to work through ambiguity and deliver practical solutions.
      • Effective communication skills and the ability to collaborate with technical and non-technical stakeholders.
      • Curiosity and enthusiasm for emerging AI technologies and software engineering practices.
      • Strong attention to quality, maintainability, and user experience.
      • Ability to learn new technologies quickly and apply them effectively in a business environment.
      • High degree of accountability, ownership, and commitment to delivering results.


      McCarthy is proud to be an equal opportunity employer, including disability and protected veteran status.
      NOTICE TO EXTERNAL SEARCH FIRMS: McCarthy’s Talent Acquisition Team is the only authorized representative permitted to engage with external search firms, staffing agencies, or other third-party recruiting partners. McCarthy maintains an Approved Agency List for recruiting partners, which is reviewed and updated annually.
      McCarthy will only consider submissions from agencies with a signed fee agreement in place for the current year. McCarthy does not accept unsolicited resumes, candidate submissions, or referrals from agencies that do not meet these requirements.
      If a candidate is submitted without an active agreement, McCarthy will have no obligation to pay any fees and reserves the right to contact, engage, interview, or hire such candidate(s) without any financial or other responsibility to the submitting agency. Unsolicited resumes, including those sent directly to hiring managers or other employees, will be considered the property of McCarthy.