AI Full Stack Application Developer at INUA AI

• 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.

Key Responsibilities

• 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.

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.