At a Glance
- Tasks: Design and evolve multi-agent systems and LLM pipelines for brand analytics.
- Company: Join AMPLIFYR Limited, an innovative AI-powered brand analytics platform.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Other info: Fast-paced team with autonomy to influence the technical direction.
- Why this job: Shape the future of agentic AI and tackle complex technical challenges.
- Qualifications: 3-5 years in software engineering with strong Python and AWS skills.
The predicted salary is between 70000 - 90000 £ per year.
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.
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.
AI Engineer at AMPLIFYR Limited employer: Jack & Jill
AMPLIFYR Limited is an exceptional employer, offering a dynamic work environment in the heart of London where innovation thrives. As an AI Engineer, you will have the opportunity to work on cutting-edge technology, with the autonomy to influence the direction of the AI platform while collaborating with a talented team. The company fosters a culture of growth and learning, providing employees with the resources and support needed to excel in their careers.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer at AMPLIFYR Limited
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Jack & Jill or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Jack & Jill.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Jack & Jill.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Jack & Jill that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace AI Engineer at AMPLIFYR Limited
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Jack & Jill.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Jack & Jill and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Jack & Jill
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Jack & Jill uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
