Agentic AI Systems Architect / Developer

We are looking for an Agentic AI Systems Architect who can design and build production-grade AI systems beyond basic chatbots or simple RAG implementations.The ideal candidate should understand how to architect systems where AI agents can:Plan and reason through multi-step tasksRetrieve and validate informationExecute tool/function calls safelyWork with memory, state, and user contextInteract with APIs, databases, and internal systemsOperate in secure enterprise or government environmentsBasic knowledge of Node.js is required for API integration, backend connectivity, and service orchestration.Technical RequirementsThe candidate should have hands-on experience with:Agentic AI frameworks such as LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel, or custom orchestration layersAgent loops, planning/execution flows, task decomposition, reflection, validation, and human-in-the-loop workflowsTool calling / function calling, structured outputs, JSON schemas, API execution, and tool safety controlsStateful AI workflows, including state machines, graph-based orchestration, session state, and workflow persistenceAdvanced RAG pipelines, including:Chunking strategiesEmbedding model selectionHybrid searchMetadata filteringQuery rewritingRerankingContext compressionRetrieval evaluationHallucination mitigationMemory architecture, including:Short-term memoryLong-term memoryUser-specific memoryVector memoryPersistent knowledge storesLLM guardrails, including:Prompt injection protectionPermission-aware retrievalOutput validationPolicy checksTool execution safetyResponse verificationLLM observability and evaluation, including:TracingPrompt/version managementEval datasetsRegression testingLatency analysisCost monitoringFailure analysisEnterprise integrations, including REST APIs, databases, CRMs/ERPs, document stores, webhooks, queues, and workflow enginesVector databases such as Qdrant, Weaviate, Pinecone, Milvus, Chroma, pgvector, Elasticsearch, or OpenSearchSecure deployment architectures for private cloud, on-premise, offline, or government-secure environmentsNode.js basics, including API development, async workflows, service integration, and connecting AI systems to backend applications