As an AI Engineer at AMPLIFYR.ai Limited, you will design and evolve the multi-agent systems and LLM pipelines powering their brand analytics platform. You will architect agent topologies, manage cloud infrastructure on AWS Bedrock, and build evaluation frameworks to ensure high-quality outputs. This is a hands-on role defining the future of agentic AI.
AI Engineer at AMPLIFYR Limited
AMPLIFYR.ai Limited is seeking an AI Engineer in London to help evolve their production multi-agent platform. You will design complex agent topologies and LLM pipelines using Anthropic, OpenAI, and Perplexity, while architecting the AWS infrastructure that powers real-time brand analytics. If you're an opinionated engineer with 2+ years of production GenAI experience and a passion for building robust, agentic systems at scale, this is your chance to set the bar for an engineering team shipping AI features fast and safely.
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Location
London, United Kingdom
Compensation
Not Disclosed
Company
AMPLIFYR.ai Limited
Role overview
AMPLIFYR.ai Limited is an AI-powered brand analytics platform that leverages multi-agent systems and LLMs like GPT, Claude, and Perplexity to help businesses understand market positioning. Operating a production-grade multi-agent system on AWS, they provide actionable insights through advanced signal generation, research workflows, and their own MCP server.
What you will do
- Design and build sophisticated agent topologies such as planner/executor and supervisor/worker loops using frameworks like LangGraph, Strands, and custom SDKs.
- Architect and maintain the AWS infrastructure substrate, including ECS Fargate, Lambda, and Step Functions, to run high-performance AI workloads at scale.
- Develop a robust LLM evaluation platform with golden datasets and LLM-as-judge metrics to track cost, latency, and quality across multiple model providers.
Who this is a fit for
- Brings 3-5 years of software engineering experience, including at least 2 years shipping LLM or GenAI systems into a production environment.
- Demonstrates strong Python skills and hands-on experience with agent frameworks such as LangGraph, CrewAI, or the OpenAI and Claude Agent SDKs.
- Possesses a solid foundation in AWS services and a deep understanding of RAG, including embeddings, vector stores, and reranking techniques.
Why this role is remarkable
- Work on a production-scale multi-agent platform that orchestrates Anthropic, OpenAI, and Perplexity models through a sophisticated and proprietary MCP server.
- Join a fast-moving team where you have the autonomy to make build-vs-buy decisions and shape the technical direction of the entire AI platform.
- Solve complex technical challenges beyond simple bootstrapping, including agent memory design, reflection loops, and multi-tenant isolation for high-stakes enterprise clients.
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