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Full Stack AI Engineer
Student.com. Design, develop, test and maintain applications across the full technology stack .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in full-stack application development, including strong JavaScript and TypeScript skills, and the ability to build responsive web interfaces. Proficient in utilizing AI-assisted tools throughout the software development lifecycle while ensuring application security and performance.
Highest-signal resume keywords
JavaScriptTypeScriptFront-End FrameworksBackend Services DevelopmentAI-Assisted Tools
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
HTMLCSSAPIsData ModellingVersion ControlTesting PracticesDebuggingApplication SecurityPerformance OptimizationData Quality Improvements
Soft Skills
Clear CommunicationCollaborationProblem-SolvingOwnershipIndependence
Tools & Technologies
AWSCI/CD PipelinesAutomated Testing ToolsMonitoring ToolsStripeHubSpotXero
Industry Keywords
Consumer-Facing PlatformsMarketplacesE-CommerceSaaS ProductsPayment IntegrationsCRM SystemsInternational Technology Business
Tech Stack
Tools & technologiesAWSCloudJavaScriptTypeScript
About the role
Key responsibilities & impact- 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
Requirements
What you’ll need- Experience developing and maintaining software in a commercial environment, with practical experience across front-end and back-end development
- Strong JavaScript and/or TypeScript skills
- Experience building responsive web interfaces using a modern front-end framework
- Sound understanding of HTML, CSS, usability and accessibility
- Experience developing backend services, APIs and third-party integrations
- Understanding of databases, data modelling and movement of data between systems
- Experience using version control, testing and code review practices
- Strong problem-solving and debugging skills across the full application stack
- Ability to translate business requirements into practical, maintainable technical solutions
- Understanding of application security, data protection, performance and reliability
- Hands-on experience using AI-assisted tools across the software development lifecycle, with a considered approach to reviewing and validating generated output
- Clear communication skills and ability to collaborate with technical and non-technical colleagues
- Ability to work independently on agreed tasks, take ownership and seek support when needed
- Desirable: exposure to building agentic or LLM-powered systems, including tool use, function calling, retrieval-augmented generation, multi-step workflows, orchestration frameworks or MCP integrations
- Desirable: understanding of practical AI production challenges, including evaluation, prompt and output testing, observability, cost management, prompt injection risks and responsible data use
- Desirable: experience with consumer-facing platforms, marketplaces, e-commerce, travel, booking or SaaS products
- Desirable: experience integrating payment, CRM, finance or other business systems
- Desirable: exposure to Stripe, HubSpot or Xero
- Desirable: experience with cloud services, particularly AWS
- Desirable: familiarity with CI/CD pipelines, automated testing and monitoring tools
- Desirable: experience supporting reporting, analytics or data quality improvements
- Desirable: experience working in an international or growing technology business
Benefits
Comp & perks- Competitive salary
- Pension
- Healthcare
- Holidays
- Volunteering leave
- Additional benefits designed to support your wellbeing