AI Systems Architect & Developer

Overview

Technical Requirements

• The candidate should have hands-on experience with:
• **Agentic AI frameworks** such as LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel, or custom orchestration layers
• **Agent loops**, planning/execution flows, task decomposition, reflection, validation, and human-in-the-loop workflows
• **Tool calling / function calling**, structured outputs, JSON schemas, API execution, and tool safety controls
• **Stateful AI workflows**, including state machines, graph-based orchestration, session state, and workflow persistence
• **Advanced RAG pipelines**, including:
• Chunking strategies
• Embedding model selection
• Hybrid search
• Metadata filtering
• Query rewriting
• Reranking
• Context compression
• Retrieval evaluation
• Hallucination mitigation
• **Memory architecture**, including:
• Short-term memory
• Long-term memory
• User-specific memory
• Vector memory
• Persistent knowledge stores
• **LLM guardrails**, including:
• Prompt injection protection
• Permission-aware retrieval
• Output validation
• Policy checks
• Tool execution safety
• Response verification
• **LLM observability and evaluation**, including:
• Tracing
• Prompt/version management
• Eval datasets
• Regression testing
• Latency analysis
• Cost monitoring
• Failure analysis
• **Enterprise integrations**, including REST APIs, databases, CRMs/ERPs, document stores, webhooks, queues, and workflow engines
• **Vector databases** such as Qdrant, Weaviate, Pinecone, Milvus, Chroma, pgvector, Elasticsearch, or OpenSearch
• **Secure deployment architectures** for private cloud, on-premise, offline, or government-secure environments
• **Node.js basics**, including API development, async workflows, service integration, and connecting AI systems to backend applications

Important Note

• This role is **not for someone who has only built a basic chatbot or RAG over a few PDFs**.
• We are looking for someone who can architect real **agentic AI systems** with:
• Agents
• Tools
• Memory
• Retrieval
• Validation
• Orchestration
• Security
• Monitoring
• Production deployment
• Work location:
• Abu Dhabi - in office

Job Type: Full-time

Application Question(s)

• What is the difference between a basic RAG chatbot and an agentic AI system?
• ⁠How would you handle user permissions when the agent retrieves documents from multiple departments?
• How would you evaluate and audit an agent’s decisions, tool calls, and retrieved sources in production?

Experience

• AI Agent & Routing Engineer: 2 years (Required)

Language

• English (Required)