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Jobs(30,165)/AI Engineer Role(730)/CreateFuture (13) - AI Engineer (Amazon Bedrock)
CreateFuture

CreateFuture - AI Engineer (Amazon Bedrock)

Edinburgh, Leeds, Manchester or London - Hybrid3w ago
In OfficeEMEACloud ComputingArtificial IntelligenceAI EngineerPythonVectorTalent AcquisitionAWS

Requirements

• Amazon Bedrock at scale — hands-on implementation of agents, knowledge bases, and model inference in production environments, not limited to basic API calls • Agentic AI and multi-agent systems — direct experience designing and deploying agent pipelines with real orchestration complexity • MCP (Model Context Protocol) — built or integrated MCP servers in a production or near-production context • Strands Agents — familiarity with the framework and its application to agentic workflows on AWS • RAG implementation — knowledge base design, chunking strategy, vector store configuration, and retrieval evaluation • Python — strong, applied proficiency in an AWS and AI context • AWS infrastructure — working knowledge of Lambda, DynamoDB, and S3 as components of AI system backends • Observability — experience instrumenting AI systems with tracing, logging, and monitoring tooling (CloudWatch preferred) • LLM integration — prompt engineering, tool/function calling, context window management, and output parsing • AWS certifications desirable, particularly the AI/ML Specialty • What we’ll offer you: • We trust people to do their best work. That means flexibility over rigid rules, impact over activity, and real investment in your growth both professionally and personally. You’ll be part of a supportive, and friendly culture, surrounded by smart, curious people who care deeply about what they do.We offer flexible working, including hybrid and remote options. Our office hubs are located in Edinburgh, Leeds, Manchester, London and Bulgaria, with occasional travel to client sites or CreateFuture offices when needed. • We trust you to manage your time balancing collaboration with client time and focused work. What matters is the impact you have, not how busy you look. • Our hiring process • Our hiring process • We try to keep our hiring process clear, fair and respectful of your time. We aim to get back to everyone who applies and we will be upfront about where you are in the process. • It usually looks like this: • Call with our Talent Acquisition Team • Role specific capability interview • Depending on the role, we might also ask you to do a short presentation, a practical or technical task or have a values focused conversation. We will explain what is involved before anything happens. • Inclusion at CreateFuture • We believe diverse teams build better workplaces and better products. We want CreateFuture to be a place where people feel able to be themselves and do their best work. • If you need any adjustments or support during the application process, just. We will do what we can to help. • We look forward to your application!

Responsibilities

• Design and implement production agentic AI systems on Amazon Bedrock, including multi-agent orchestration, memory management, and tool integration using Amazon Bedrock AgentCore and Strands Agents • Build, integrate, and maintain MCP (Model Context Protocol) servers that expose capabilities to AI agents across client platforms • Architect and implement RAG pipelines using Amazon Bedrock Knowledge Bases, managing vector stores, embeddings, and document ingestion from S3 and other sources • Instrument AI systems with observability and tracing tooling — CloudWatch, spans, and traces — to support debugging, performance monitoring, and compliance requirements • Integrate LLMs into client applications through prompt engineering, context management, and function/tool calling patterns • Leverage serverless infrastructure — AWS Lambda, DynamoDB, S3 — to build scalable, cost-efficient backends for AI workloads • Collaborate with client engineering and product teams to translate requirements into agent architectures, contributing to technical roadmaps and AI strategy

Benefits

• 35 days leave (including bank holidays). • Private medical insurance. • Enhanced parental and adoption leave. • Financial coaching + 5% pension match. • 40 hours of paid learning and development. • View our full list of UK benefits.CreateFuture is a Great Place to Work-Certified™ company and has won Best Workplaces UK multiple years in a row. • A hands-on senior AI engineer embedded in client delivery teams, responsible for designing, building, and operating production-grade agentic AI systems on AWS. This role sits at the intersection of AI engineering and cloud architecture, owning the end-to-end implementation of multi-agent pipelines, knowledge bases, and orchestration frameworks using Amazon Bedrock and its surrounding ecosystem. The right candidate has shipped real AI agents to production — not just prototypes — and brings the rigour of a software engineer to a space that often lacks it.Key Responsibilities

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