At a Glance
- Tasks: Design and develop cutting-edge AI applications using Large Language Models.
- Company: Join Profitero+, a leading global SaaS commerce platform.
- Benefits: Enjoy competitive salary, healthcare, flexible hours, and 25 days off plus bank holidays.
- Other info: Dynamic work environment with excellent career growth and mentoring opportunities.
- Why this job: Be at the forefront of AI innovation and make a real impact in eCommerce.
- Qualifications: 3+ years in AI/ML with strong Python skills and experience in LLMs.
The predicted salary is between 80000 - 98000 £ per year.
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.
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.
Responsibilities:
- Design, develop, and deploy LLM-based systems, agentic applications and complex AI workflows using generative AI models (Claude, OpenAI, Gemini, etc.) and relevant frameworks (e.g., 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.
- Build and optimize prompts and interaction strategies for LLMs to achieve desired outcomes in agentic systems.
- 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.
- Collaborate closely with product managers, designers, and other engineers to translate requirements into technical solutions.
- 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.
- Mentor junior engineers and share knowledge within the team.
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.
- Experience with RESTful APIs and integrating external services.
- Solid understanding of software development best practices, including version control (Git), testing, and CI/CD.
- Experience with Snowflake is a plus.
- Excellent problem-solving skills and the ability to work independently and as part of a collaborative team.
- Strong communication skills, both written and verbal.
Profitero+ is committed to creating a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants will receive fair consideration for employment.
Senior AI Engineer in Wokingham employer: Publicis Groupe
Publicis Groupe is an exceptional employer, offering a dynamic work culture that fosters creativity and collaboration in the heart of Greater London. With a strong focus on employee growth, we provide comprehensive benefits such as Pension, Life Assurance, and Private Medical cover, ensuring our team feels valued and supported. Join us to lead innovative strategies for renowned brands like Disney, while enjoying a workplace that champions inclusivity and professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer in Wokingham
✨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 Groupe 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
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✨Tap into Online Developer Communities
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✨Explore Job Boards Specifically for Tech Roles
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We think you need these skills to ace Senior AI Engineer in Wokingham
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 Groupe.
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 Groupe 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 Groupe
✨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 Groupe 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.