Engineer, AI

St Engineering; Independence, Northern (KS, KY); Hybrid; USD 50,000 - 75,000; Full time

Job summary

St Engineering in Independence, KS, seeks a motivated entrant to collaborate with engineering, operations and quality assurance to translate requirements into user-friendly digital tools.

You will gather and validate data for pilot projects, support governance and cyber security, and contribute to automation initiatives aimed at improving workflows and decision-making. A proactive, team-oriented learner will excel.

Qualifications

• Basic understanding of software development principles with practical experience or coursework in at least one programming language or development platform.
• A proactive, self-motivated learner with the capacity to work independently and adapt to evolving priorities within a fast-paced and dynamic environment.
• Strong communication skills paired with a collaborative mindset, enabling effective teamwork and stakeholder engagement.
• Familiarity or experience in full-stack development covering both frontend and backend technologies.
• An interest in or previous exposure to automation technologies, data analytics methodologies, AI-enabled systems, or low-code/no-code development platforms.
• Ability to map and analyses operational processes and workflows, identifying opportunities for automation and system enhancements to eliminate inefficiencies.
• Knowledge of enterprise data platforms, APIs, and systems integration.
• Experience in Data Science and Machine Learning model development. Industry certifications in AI/ML, cloud, or enterprise architecture.

Responsibilities

• Collaborate with engineering, operations, and quality assurance to translate requirements into digital tools.
• Assist in gathering, validating, and analysing data for pilot projects to support performance monitoring and improvement.
• Support end-to-end change management including documentation and training materials during rollout phases.
• Ensure digital solutions comply with governance, cyber security, and operational standards.
• Contribute to continuous improvement programmes focusing on digitalisation and automation.
• Develop hands-on expertise with AI-assisted tools and automation frameworks to build predictive, data-driven applications.

Skills

Programming basics

Self-motivation

Communication

Team collaboration

Full-stack development

Automation technologies

Data analytics methodologies

AI-enabled systems

Low-code/no-code

Process mapping

APIs & data integration

Data Science / ML

Tools

APIs

Low-code platforms

Cloud platforms

Job description

• Collaborate closely with multidisciplinary teams—including engineering, operations, and quality assurance—to gather requirements and translate them into viable and user-friendly digital tools.
• Assist in gathering, validating, and analysing data critical for pilot projects, ensuring accuracy and relevance to support performance monitoring and continuous improvement efforts.
• Support end-to-end change management activities, including engaging users, creating comprehensive documentation, and training materials, and providing assistance during the rollout phases to ensure smooth adoption.
• Ensure all digital solutions comply with organisational governance, cyber security policies, and operational standards to maintain integrity and reliability.
• Support and actively contribute to continuous improvement programmes, focusing on digitalisation and automation initiatives aimed at streamlining workflows and enhancing operational efficiency.
• Develop hands-on expertise by working on AI-assisted tools and automation frameworks, assisting in building predictive, data-driven applications that support informed decision-making.

Job Requirements

• Basic understanding of software development principles with practical experience or coursework in at least one programming language or development platform.
• A proactive, self-motivated learner with the capacity to work independently and adapt to evolving priorities within a fast-paced and dynamic environment.
• Strong communication skills paired with a collaborative mindset, enabling effective teamwork and stakeholder engagement.
• Familiarity or experience in full-stack development covering both frontend and backend technologies.
• An interest in or previous exposure to automation technologies, data analytics methodologies, AI-enabled systems, or low-code/no-code development platforms.
• Ability to map and analyses operational processes and workflows, identifying opportunities for automation and system enhancements to eliminate inefficiencies.
• Knowledge of enterprise data platforms, APIs, and systems integration.
• Experience in Data Science and Machine Learning model development. Industry certifications in AI/ML, cloud, or enterprise architecture.