AI Systems Architect – AI SaaS Infrastructure

AI Systems Architect – AI SaaS InfrastructureCompany: AI Automation LabsWebsite: Bangalore / Remote (India)Experience: 4–7 YearsEmployment Type: Full-TimeRole OverviewAI Automation Labs is building AI-native SaaS products and intelligent automation systems.We are hiring an AI Systems Architect who can independently design, build, and scale AI-powered infrastructure from scratch. This role goes beyond workflow automation — you will architect production-ready AI systems including:AI agents and orchestration frameworksRAG pipelines with vector databasesBackend systems in Node.js or PythonMulti-agent architecturesDevOps and deployment pipelinesInternal AI tools and dashboardsYou will have architectural ownership and technical decision-making authority.Core MissionDesign and build scalable AI SaaS infrastructure that enables:Multi-tenant AI agent deploymentsRAG-based knowledge systemsIntelligent workflow enginesClient-facing AI platformsInternal AI productivity systemsKey Responsibilities1. AI Architecture & System DesignDesign scalable AI SaaS architecture from scratchSelect and justify cloud, backend, and AI stackDefine modular, extensible system design2. AI Agents & Multi-Agent SystemsBuild orchestration systems for multi-agent collaborationImplement memory layers and state handlingDesign prompt frameworks and reasoning pipelinesBuild agent-to-agent communication models3. RAG & Knowledge SystemsDesign and implement Retrieval-Augmented Generation pipelinesWork with vector databases such as:PineconeWeaviateSupabase VectorOptimize chunking, embeddings, retrieval logicImplement hybrid search strategies4. Backend EngineeringDevelop backend systems in Node.js or PythonBuild API layers for AI servicesImplement authentication and multi-tenant architectureHandle database schema and system scaling5. DevOps & InfrastructureContainerize systems using DockerSet up CI/CD pipelinesConfigure staging and production environmentsImplement logging, monitoring, and observabilityEnsure reliability and cost optimization6. Model Strategy & Fine-TuningWork with API models (OpenAI, Anthropic, Gemini, etc.)Evaluate open-source LLM deployment when requiredImplement fine-tuning and model optimizationOptimize latency, token usage, and cost efficiencyLeverage advanced AI development tools including Claude Code for structured system design, architecture planning, and AI-assisted code generation7. Internal ToolingBuild internal dashboards for:Agent monitoringClient configurationPerformance analyticsCreate reusable internal AI frameworksRequired Technical SkillsStrong backend development experience (Node.js or Python)Experience building production AI systemsHands-on experience working with Claude Code in real development workflowsDeep understanding of LLM APIs and prompt engineeringExperience building RAG pipelinesExperience with vector databasesStrong API design and system architecture skillsExperience with Docker and deployment pipelinesAbility to independently architect systems from zeroPreferred SkillsExperience building AI SaaS productsMulti-agent orchestration frameworks (LangChain, CrewAI, custom)Knowledge of distributed systemsExperience optimizing LLM performance and costFamiliarity with cloud infrastructure (AWS/GCP/Azure)What We Are Not Looking ForOnly workflow automation buildersOnly prompt engineersOnly frontend developersOnly DevOps engineersWe are looking for a full-stack AI systems builder.Success Metrics (First 6 Months)Production-ready AI SaaS architecture deployedStable RAG system with measurable retrieval accuracyMulti-agent system operationalCI/CD pipeline operationalClear technical documentationDemonstrated architectural ownershipGrowth PathHead of AI EngineeringChief AI ArchitectTechnical Co-Founder (based on performance & long-term contribution)Why This Role MattersThis role transforms AI Automation Labs from an automation services company into an AI product company.You will not just build features — you will build the foundation.How to ApplyEmail: Include:ResumeGitHub or portfolioArchitecture examples you’ve builtExplanation of one AI system you designed end-to-end

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