Full Stack Architect / Lead Engineer /AI solution-building

Role OverviewWe are looking for a Full Stack Architect / Lead Engineer with strong hands-on coding and AI solution-building expertise.You will design, build, and scale modern cloud-native applications — leading a small engineering team while contributing directly to architecture, backend, frontend, and AI integrations.Key ResponsibilitiesLead architecture design, technology selection, and solution planning.Develop high-quality, scalable code across frontend, backend, and cloud infrastructure.Integrate AI/ML services and LLM models into real-world web and mobile applications.Mentor and guide developers; review code and ensure best engineering practices.Build APIs, microservices, and data pipelines with strong security and performance standards.Collaborate with product and design teams to deliver end-to-end solutions.Drive CI/CD, containerization, and deployment automation.Required Technical SkillsFrontendFlutter 3+ (Mobile – iOS/Android)Next.js 14+/React 18+ (Web)TypeScript, TailwindCSS, REST API integrationBackendBackend Java 17+, Spring Boot 3+ (REST, JPA, Security, Validation)PostgreSQL /mysql / RedisAPI design, data modeling, microservices architectureWebSocket / Message Queue integration (Kafka/RabbitMQ optional)Cloud / DevOps AWS (ECS/Fargate, RDS, S3, CloudFront, Lambda, Bedrock)Docker / Docker Compose, CI/CD pipelines (GitHub Actions / Jenkins)Kubernetes / Terraform (optional but preferred) Monitoring: Grafana, Prometheus, CloudWatchAI / ML Integration Experience integrating LLMs (OpenAI, Claude, Gemini, or Ollama)Familiar with prompt engineering, AI model orchestration, and vision APIs (AWS Rekognition / Google Vision).Build and deploy AI-powered features with secure APIs and scalable architecture.Security / Auth OAuth2 / OIDC / Keycloak / JWT authenticationMFA / SSO / Passkeys / Role-based access control (RBAC)Soft Skills & Leadership Strong architectural thinking and system design skills. Proven team-leading and mentorship experience (2–5 developers). Hands-on approach — 70% coding, 30% architecture/leadership. Excellent communication and documentation skills. Ability to deliver under startup-style timelines and ambiguity.Preferred ToolsIDEs: IntelliJ IDEA / VS Code / Android StudioAI Tools: GitHub Copilot, ChatGPT, Cursor, Tabnine Version Control: GitHub / GitLabDesign & Collaboration: Figma, Notion, Slack, Jira

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