Working at CreateFuture
CreateFuture is an AI-native consulting partner where people do work that matters and are supported to do it well. We work alongside organisations such as PayPal, adidas, NatWest, FanDuel and Money Saving Expert, building digital products and services that make a difference while always putting people first.
We’re a team of creators. We write code, shape delivery, build go-to-market strategies, develop AI solutions and create the practices that support our people. We work side by side with our clients, challenging what’s not working and helping them to build the future. Our commitment to craft, quality, and culture has helped us scale to over 600 people in just a few years.
Our UK 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.
Join us on our journey. Let’s create tomorrow, together, today.
Key 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
- Apply the A2A (Agent-to-Agent) protocol to enable interoperability between agents across systems and workflows
- 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
Skills & Experience
- 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
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 processWe 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 CreateFutureWe 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!
Skills Required
- Hands-on production experience with Amazon Bedrock (agents, knowledge bases, model inference)
- Experience designing and deploying agentic AI and multi-agent orchestration systems
- Built or integrated MCP (Model Context Protocol) servers
- Familiarity with Strands Agents framework
- RAG implementation experience (knowledge base design, chunking, vector store configuration, retrieval evaluation)
- Strong Python proficiency in an AWS and AI context
- Working knowledge of AWS infrastructure components for AI backends (Lambda, DynamoDB, S3)
- Experience instrumenting AI systems with tracing, logging and monitoring tooling (CloudWatch preferred)
- Experience integrating LLMs into applications (prompt engineering, context management, function/tool calling)
- Proven track record shipping real AI agents to production (not just prototypes)
- AWS certifications (AI/ML Specialty) desirable
What We Do
CreateFuture was built to take action. With our 500-strong team of software engineering, strategy and design experts, across Edinburgh, Leeds, London and Manchester, we’re determined to get you exactly what you need. As with our past clients, we get to the root of your challenge and do everything it takes to create positive solutions by building digital products and services that solve problems. With years of experience helping catalyse major organisations into action, our rapid growth has been driven by people who seek to understand before they solve. We care about our craft. We challenge each other by asking, “Why not?”. And we’re proud to collaborate and partner with the likes of PayPal, adidas, FanDuel, Money Saving Expert, Penguin Random House, Yorkshire Building Society and more. With CreateFuture, our people are at the forefront of every outcome and we know that a strong team dynamic is critical to success, so we’ll be there for you every step of the way. We draw on their unique skills for problem-solving – and helping your teams unleash their potential too. Put simply, we want to be an organisation that people want to work for and want to work with. You don’t need to have all the answers. Share your problem and we’ll go from there. Let’s create something incredible, together, today.
