[Remote] Junior AI Engineer

Note: The job is a remote job and is open to candidates in USA. Hays is seeking a Junior AI Engineer for a remote opportunity. The role supports the development and deployment of secure AI-powered applications, automation solutions, APIs, and cloud-native services while contributing to application security, DevSecOps, operational support, and responsible AI practices. The engineer will also research emerging technologies and assist with AI innovation initiatives.

Responsibilities

• Design, develop, and maintain AI-powered applications, services, and intelligent automation solutions under the guidance of senior engineers
• Contribute to the development of reusable APIs, frameworks, libraries, and tooling that support AI adoption across engineering teams
• Implement security controls and automated checks within development workflows, CI/CD pipelines, and AI-enabled engineering environments
• Participate in secure code reviews and support remediation efforts for applications developed in Python, JavaScript, Go, Java, and related technologies
• Follow secure coding standards, responsible AI guidelines, and software development best practices
• Support DevSecOps initiatives by helping integrate security controls throughout the software development lifecycle
• Collaborate with engineering, architecture, product, security, and operations teams to develop secure AI-enabled solutions
• Assist in designing and implementing AI applications and cloud-native services
• Participate in architecture discussions, design reviews, sprint planning sessions, and technical workshops
• Work with software engineers to incorporate security and responsible AI practices into development workflows
• Support enterprise AI adoption efforts by contributing technical insights and implementation support
• Assist with application security assessments, vulnerability analysis, and remediation planning
• Evaluate AI-powered applications and workflows for risks such as prompt injection, unauthorized access, data exposure, and misuse
• Participate in threat modeling activities for applications, APIs, and cloud-native environments
• Help configure security controls across cloud, hybrid, and on-premises platforms
• Create and maintain technical documentation, implementation guides, standards, and operational procedures
• Support production AI systems, applications, and development platforms to maintain reliability and security
• Troubleshoot application issues, security findings, and operational incidents
• Assist with responding to application security events, AI misuse concerns, and data protection issues
• Monitor application performance, operational health, and security metrics
• Contribute to platform maintenance, optimization, and continuous improvement initiatives
• Participate in scheduled deployment activities, production support rotations, after-hours maintenance windows, and on-call support as required
• Contribute to team training initiatives focused on AI technologies, secure software engineering, and emerging tools
• Promote a culture of collaboration, innovation, and continuous learning
• Research emerging AI, cybersecurity, and software engineering technologies and best practices
• Prototype new AI capabilities, automation solutions, and developer productivity tools
• Assist in evaluating agentic AI systems and intelligent automation opportunities
• Explore secure implementation patterns for LLM-powered applications and RAG-based architectures

Skills

• Applicants must be legally authorized to work in the United States
• Sponsorship not available
• 3–5 years of professional software engineering experience building, deploying, and supporting enterprise or cloud-based applications
• 1–2 years of hands-on AI experience, including LLMs, generative AI applications, RAG architectures, AI agents, or intelligent automation solutions
• Programming experience in Python, JavaScript, Go, Java, or similar modern languages
• Familiarity with APIs, cloud platforms, containers, CI/CD pipelines, and Git-based development workflows
• Basic understanding of secure coding principles, application security concepts, and common software vulnerabilities
• Strong analytical, troubleshooting, and problem-solving skills
• Effective written and verbal communication skills with the ability to work across technical and non-technical teams
• Demonstrated willingness to continuously learn, evaluate, and adopt emerging technologies, AI frameworks, security tools, cloud services, and engineering platforms
• Ability to adapt to changing business priorities, project requirements, and technology environments while maintaining high-quality delivery standards
• Bachelor's degree in Computer Science, Software Engineering, Cybersecurity, Artificial Intelligence, Data Science, Information Systems, or a related technical field
• Experience developing AI-powered applications or automation solutions in development, testing, or production environments

Benefits

• Medical insurance
• Dental insurance
• Life insurance
• 401K
• Support with resume writing, interview tips, and career planning

Company Overview