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