CloudiQS | London (Remote) We are building production agentic AI systems on AWS that deploy into customer environments within hours. This role is for engineers who understand AWS deeply and want to build AI agents using modern frameworks (LangChain, CrewAI, LangGraph, Strands) while deploying them on production-grade AWS infrastructure. What You''ll Build Build agents using modern frameworks (LangChain, LangGraph, CrewAI, Strands Agents) and deploy them on Amazon Bedrock AgentCore Runtime for production scale and reliability. Design agent architectures that leverage AgentCore Memory, Gateway, Identity, Browser, and Code Interpreter services. Implement multi-agent systems using supervisor-worker patterns, agent-to-agent communication (A2A), and Model Context Protocol (MCP) integrations. Build tool integrations through AgentCore Gateway that connect agents to customer AWS services, internal APIs, and third-party systems. Deploy agents as serverless functions or containers depending on execution requirements (Real Time vs long-running). Implement observability using AgentCore traces, CloudWatch metrics, and cost tracking across agent workflows. Own the full stack from agent logic to customer-facing UIs that expose agent capabilities clearly. What We Need Required: Strong AWS Knowledge Production AWS experience (Lambda, ECS, API Gateway, IAM, VPC) Understanding of LLM/agent concepts: tool calling, RAG, reasoning loops, memory management Back End or full-stack engineering (Python