Student.com

AI Engineer

• Design, develop, test and maintain applications across the full technology stack
• Build responsive, accessible and user-friendly front-end experiences
• Develop and maintain backend services, APIs and third-party integrations
• Improve data capture, storage, sharing, quality, reporting and business insights
• Develop internal tools and automate workflows to reduce manual tasks
• Translate business needs into practical technical solutions with Product, Design, Sales and Engineering colleagues
• Improve performance, reliability, security and maintainability of existing applications
• Investigate and resolve bugs, integration failures and technical issues
• Write maintainable code with appropriate testing and documentation
• Participate in code reviews and share development practices
• Support automated testing, deployment pipelines and release processes
• Apply AI-assisted tools across requirements, design, coding, testing, review, debugging, documentation and release, validating outputs
• Design, build and operate agentic systems and AI-enabled features using LLM APIs, tool/function calling and internal or third-party integrations
• Establish guardrails for AI workflows, including evaluation, monitoring, logging, cost control and human oversight
• Own features and improvements from requirements through release and ongoing support

Explore Full Stack AI Engineer at Student.com. Review requirements and application details.

Full Stack AI Engineer

Infrastructure Engineer

• Own the infrastructure and platform engineering roadmap
• Design, build, maintain and improve secure, scalable cloud infrastructure
• Establish infrastructure standards, operating procedures and technical documentation
• Identify and address technical debt, operational weaknesses and single points of failure
• Provide technical guidance and mentor colleagues in infrastructure and operational best practice
• Manage infrastructure suppliers and services
• Own production infrastructure reliability, availability and performance
• Establish service measures, monitoring and reporting for platform health
• Improve observability, logging, monitoring and alerting
• Lead infrastructure incident response and coordinate investigation, recovery and stakeholder updates
• Conduct post-incident reviews and ensure preventative improvements are completed
• Improve redundancy, capacity planning and performance
• Own infrastructure security controls, identity and access management, patching, vulnerability remediation, secrets management and secure configuration
• Support security reviews, supplier assessments and audit or compliance requirements
• Own the technical disaster recovery approach and contribute to business continuity planning
• Implement and maintain backup, restoration and failover arrangements
• Test recovery procedures and maintain recovery runbooks
• Drive Infrastructure as Code adoption and maintain CI/CD pipelines
• Improve consistency across development, testing and production environments
• Reduce manual administration through automation
• Provide developer tooling and documentation
• Monitor cloud usage and expenditure, optimise resources, and establish cost controls
• Forecast capacity requirements and align infrastructure choices with business growth
• Collaborate with the CTO and Engineering, Product, Data and Commercial teams
• Translate infrastructure priorities and technical risks into business implications
• Use AI-assisted engineering tools thoughtfully with security controls and human review

Explore AI Infrastructure Developer at Student.com. Review requirements and application details.

Open roles

Full Stack AI Engineer

AI Infrastructure Developer