Senior Full-Stack SaaS & AI Architect | Enterprise, Mobile, MVP & Cloud Solutions

We are seeking a highly experienced Senior Full-Stack SaaS Architect and AI Product Engineering Lead to take ownership of the architecture, development, deployment, and long-term scalability of multiple enterprise-grade software products. This role requires a senior-level engineer capable of leading the complete software development lifecycle, from product discovery and technical planning through architecture design, implementation, cloud deployment, optimization, and ongoing platform evolution. The ideal candidate will have extensive experience building and scaling complex SaaS platforms, multi-tenant applications, startup MVPs, enterprise software solutions, customer portals, self-service platforms, business automation systems, CRM platforms, ERP solutions, marketplace ecosystems, eCommerce applications, workflow management systems, analytics dashboards, internal business tools, API-driven platforms, and high-performance web applications. The successful developer must be comfortable making high-level architectural decisions while also contributing hands-on code across both frontend and backend systems. Technical expertise should include advanced frontend development using React, Next.js, TypeScript, JavaScript, Redux, Zustand, React Query, Tailwind CSS, Material UI, and modern component-driven architectures. On the backend, strong experience is required with Node.js, NestJS, Express.js, Fastify, Laravel, FastAPI, Django, ASP.NET Core, microservices architecture, event-driven systems, serverless computing, API gateways, GraphQL, REST APIs, WebSockets, OAuth2, JWT authentication, RBAC, SSO implementation, and enterprise-grade security practices. The role includes designing and optimizing data-intensive applications using PostgreSQL, MySQL, MongoDB, Redis, SQL Server, Supabase, Firebase, DynamoDB, Prisma, TypeORM, and distributed caching solutions. Candidates should be experienced in building highly scalable systems capable of supporting thousands of concurrent users while maintaining performance, reliability, and security. Strong cloud engineering experience is required, including AWS architecture using EC2, ECS, EKS, Lambda, API Gateway, CloudFront, S3, RDS, SQS, SNS, and infrastructure automation using Docker, Kubernetes, Terraform, Helm, GitHub Actions, GitLab CI/CD, Jenkins, ArgoCD, and modern DevOps practices. The ideal candidate will be responsible for deployment automation, observability, monitoring, logging, disaster recovery planning, infrastructure optimization, and platform reliability engineering. This position also requires deep expertise in AI-powered product development, including OpenAI GPT integration, Claude, Gemini, LangChain, LlamaIndex, Retrieval-Augmented Generation (RAG), vector databases, embeddings, semantic search, AI copilots, intelligent assistants, conversational AI systems, AI workflow automation, agentic systems, recommendation engines, document processing pipelines, and enterprise AI implementation strategies. Experience with Pinecone, Chroma, Weaviate, Qdrant, and large-scale AI application architecture is highly desirable. The successful candidate will lead technical strategy, system architecture, code quality standards, scalability planning, performance optimization, compliance requirements, security implementation, technical documentation, CI/CD workflows, testing strategies, and long-term product roadmaps. This is a leadership-level engineering position requiring the ability to transform complex business requirements into scalable, maintainable, and commercially successful software products.