You will lead the technical evolution of a production multi-agent system, designing complex agent topologies and LLM pipelines. By orchestrating models from Anthropic, OpenAI, and Perplexity on AWS, you'll build the agentic infrastructure that transforms market data into brand insights. This role focuses on scaling sophisticated AI systems beyond initial bootstrapping.
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Learn about Jack
AI Engineer at AMPLIFYR Limited
Join an innovative London-based startup building the future of brand intelligence through a production multi-agent AI platform. As an AI Engineer, you will move beyond simple prompting to design sophisticated agent topologies and LLM pipelines orchestrating Anthropic, OpenAI, and Perplexity. You will own the technical direction of a high-scale AWS infrastructure, building the evaluation suites and agent harnesses that define what 'good' looks like in agentic AI. If you are a hands-on Python expert with production LLM experience ready to shape the architecture of a multi-tenant AI system, this is your chance to lead.
About this role
Role overview
About the company
AWS-backed brand analytics platform orchestrating multi-agent AI systems
What you'll do
What you will do
- Design and build complex agent topologies, including planner/executor loops and human-in-the-loop workflows using LangGraph and the Agent SDKs.
- Develop a robust LLM evaluation and observability platform using golden datasets and LLM-as-judge frameworks to ensure production quality.
- Architect and maintain event-driven AWS infrastructure using ECS Fargate, Lambda, and Step Functions to power high-scale AI workloads.
Who you are
Who this is a fit for
- Has 3-5 years of software engineering experience with at least 2 years specifically shipping production-grade LLM or GenAI systems.
- Demonstrates deep expertise in Python and hands-on experience with agent frameworks like LangGraph, Strands, or OpenAI/Claude Agent SDKs.
- Possesses a solid foundation in AWS cloud services and system design for distributed, event-driven data pipelines and multi-tenant isolation.
Why this role
Why this role is remarkable
- Work on a live production multi-agent platform utilizing a diverse stack including Anthropic, OpenAI, and Perplexity via a custom MCP server.
- Solve advanced technical challenges in agentic memory, supervisor-worker topologies, and automated reflection loops rather than just basic RAG implementation.
- High-autonomy environment where you set the bar for engineering excellence, drive build-vs-buy decisions, and influence the core AI architectural direction.
Jack & Jill
How Jack & Jill work together
I get to know what you’re great at, then find roles you’d never find yourself.Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
I recruit from Jack’s network and make the intro when I spot a great match.And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
Meet Jack
Jack gets to know what you're great at and what you want next, then searches 15 million jobs daily and helps you discover roles at companies like this.
How does this work?
Jack’s an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack’s network.
If it’s a match and the company wants to meet you, they’ll make the intro. In the meantime, if you’d like, Jack will send you excellent alternatives.