AI Full Stack Application Developer

We are looking for an AI Full Stack Application Developer to build, enhance, and maintain the commercial applications that the company sells to its customers. You will own the full development lifecycle, from feature design to cloud deployment, working directly with AI‑assisted development workflows powered by Claude Code.

• 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, Cloud Front, and related services ensuring reliability, scalability, and security.
• Develop and maintain RESTful and Graph
  
  QL 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 (Git Hub 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.

• 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 Lang Chain, Llama Index, 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.

• Frontend:
  React, Next.js, Type Script, Tailwind CSS
• AI / Dev Tooling:
  Claude Code, OpenAI API, Lang Chain, Hugging Face
• Dev Ops:
  Git Hub Actions, Docker, Terraform