AI Engineer (Remote) in London

AI Engineer (Remote) in London

London Full-Time 63000 - 77000 £ / year (est.) Home office (partial)
Publicis Media

At a Glance

  • Tasks: Design and develop cutting-edge AI applications using Large Language Models.
  • Company: Join Profitero+, a leading global SaaS commerce platform with a collaborative culture.
  • Benefits: Enjoy competitive salary, flexible working hours, and generous time off.
  • Other info: Dynamic environment with excellent career growth opportunities and a focus on employee success.
  • Why this job: Make an impact in the AI field while working with innovative technologies.
  • Qualifications: 3+ years in AI/ML, strong Python skills, and experience with LLMs required.

The predicted salary is between 63000 - 77000 £ per year.

About Profitero+: Profitero+ is a leading global SaaS commerce platform that uses predictive intelligence to help brands anticipate, activate and automate their next best action to fuel profitable growth. Our technology monitors 80+ million products daily, across 1400+ retailers and 70+ countries, helping brands optimise search placement, product content, pricing, stock availability, reviews and more. News outlets, including Good Morning America, The Wall Street Journal and Ad Age frequently cite and trust Profitero as a source of data for their stories. Profitero+ joined Publicis Groupe (a $13 billion global marketing services and technology company) as a standalone commerce division, infusing our business with significant product development resources and investment while giving our employees an incredible launchpad for their careers.

Location: Reading and London hybrid flexible

Experience: 3+ Years with AI

We are unable to provide sponsorship for this job vacancy.

Role Overview: We are seeking a highly skilled and motivated Senior AI Agent Engineer with a strong background in building agentic AI applications and workflows. The ideal candidate will have proven expertise in utilizing Large Language Models (LLMs) such as Claude, OpenAI's GPT series, Google Gemini, and other similar technologies to design, develop, and deploy intelligent systems that can reason, act, and learn. Experience with frameworks like Crew AI, OpenAI Agent SDK, or Langgraph tool set for orchestrating multi-agent systems is highly valued. You will be a key player in our AI team, responsible for driving the technical architecture and implementation of our next-generation AI products, taking AI/LLM models from prototype to production to power Profitero+ products and internal tools.

Responsibilities:

  • Design, develop, and deploy LLM-based systems, agentic applications and complex AI workflows using generative AI models (Claude, OpenAI, Gemini, etc.) LangChain, LangGraph, Crew AI, or similar.
  • Deploy, operate, and iterate on AI systems in production environments, including performance tuning and cost optimization.
  • Design and build Retrieval-Augmented Generation (RAG) systems using embeddings, vector databases, and semantic search.
  • Integrate various tools, APIs, and data sources, potentially utilizing MCP Servers, to enhance model context and tool integration.
  • Develop robust, scalable, and maintainable code in Python for all components of the agentic applications, from backend logic to API integrations.
  • Implement testing, evaluation and monitoring strategies for agentic systems to ensure performance, reliability, and safety, and effective reasoning, tool usage, and failure handling.
  • Stay up-to-date with the latest research and developments in generative AI, LLMs, agentic systems, and protocols like MCP, evaluating their potential for our products.
  • Contribute to the architecture and technical roadmap of our AI initiatives.

Qualifications:

  • Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or a related field.
  • Minimum of 3 years of professional experience in software development, with a significant focus on AI/ML applications.
  • Proven proficiency in Python and experience with relevant AI/ML libraries and frameworks.
  • Hands-on experience in developing applications utilizing Large Language Models (LLMs) such as Claude, OpenAI (GPT-4, etc.), Google Gemini, or other prominent generative AI models.
  • Experience in building agentic applications or workflows, demonstrating an understanding of concepts like planning, memory, tool usage, and multi-agent systems.
  • Familiarity with AI workflow orchestration and agentic frameworks (e.g., LangChain, LangGraph, Crew AI, Haystack, or similar).
  • Practical experience with RAG architectures, embeddings, vector databases, and semantic search.
  • Experience working with Model Context Protocol (MCP) Servers.
  • Solid understanding of software development best practices, including version control (Git), testing, and CI/CD.

Why you want to work at Profitero+: We want our employees to have an opportunity to share in the success that results from our dedication to service excellence, high-quality deliverables and an unparalleled client experience. We hire only the best and provide the compensation and benefit programs appropriate for proven top-performing professionals.

  • Competitive base salary
  • Life assurance
  • Dental care plan
  • Eye care scheme
  • Company pension
  • Cycle to work scheme
  • 25 days off + bank holidays + birthdays off
  • Reduced gym membership
  • Social events
  • Employee referral scheme
  • Flexible working hours

Profitero recruits, employs, trains, compensates and promotes regardless of race, religion, colour, national origin, sex, disability, age, veteran status, and other protected characteristics as required by applicable law.

AI Engineer (Remote) in London employer: Publicis Media

Publicis Media is an exceptional employer that fosters a dynamic work culture where innovation and collaboration thrive. With a strong emphasis on employee growth, we provide comprehensive benefits such as pension plans and private medical cover, ensuring our team members feel valued and supported. Located in a vibrant digital market, this role offers unique opportunities to make a significant impact on global brands while advancing your career in the fast-paced world of e-commerce analytics.

Publicis Media

Contact Details:

Publicis Media Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Engineer (Remote) in London

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 Publicis Media 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 Publicis Media.

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 Publicis Media.

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 Publicis Media 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 (Remote) in London

Large Language Models (LLMs)
Python
AI/ML Libraries and Frameworks
Agentic Applications Development
Generative AI Models
LangChain
LangGraph

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 Publicis Media.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Publicis Media 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 Publicis Media

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 Publicis Media 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.