AI Engineer

Job Title

AI Engineer

Company Description

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.

Job Description

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.

Location

London, UK

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.

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.

The ideal candidate

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.