We are seeking a Frontend Developer skilled in AI-assisted development using Lovable.dev to rapidly build React applications from natural language prompts. You’ll refine AI-generated code—fixing logic issues, architecting state management with React Hooks, and ensuring clean, maintainable components. The ideal candidate has deep React expertise, strong JSON/API integration skills, and the ability to bridge AI-generated output with production-quality frontend code.

Required Qualifications

• Experience developing SaaS applications sold to business customers, including multi-tenant architecture and subscription billing integrations.
  
• Background in cybersecurity tooling security dashboards, compliance platforms, vulnerability management UIs, or training applications.
  
• Familiarity with LangChain, LlamaIndex, RAG architectures, or vector databases (Pinecone, pgvector).
  
• Experience with Terraform or AWS CDK for infrastructure-as-code.
  
• AWS Certified Developer or Solutions Architect certification.
  
• Knowledge of security compliance frameworks: SOC 2, NIST CSF, ISO 27001
  

• Design, develop, and maintain full-stack web applications across the company’s commercial product portfolio.
  
• Build new customer-facing features and internal tools using AI-assisted development workflows (Claude Code) as a core part of the development process.
  
• Own AWS infrastructure for hosted applications including ECS/Fargate, Lambda, S3, RDS/Aurora, CloudFront, and related services ensuring reliability, scalability, and security.
  
• Develop and maintain RESTful and GraphQL APIs that power front-end experiences and integrate with third-party security tools.
  
• Implement front-end interfaces using React or Next.js, ensuring responsive, accessible, and performant UIs for business and end-user customers.
  
• Support and extend current applications in production, triaging bugs, improving performance, and managing releases.
  
• Integrate AI/ML capabilities including LLM APIs, AI-generated content pipelines, and intelligent automation into product features.
  
• Collaborate with security, product, and training teams to understand requirements and translate them into shipped software.
  
• Establish and maintain CI/CD pipelines (GitHub Actions or equivalent) for automated testing, building, and deployment to AWS.
  
• Participate in code reviews, architectural discussions, and sprint planning; help define engineering best practices across the team.
  
• Ensure all applications meet security standards: secure coding practices, authentication/authorization (OAuth 2.0, SAML/SSO), encryption at rest and in transit.