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- Tasks: Design and develop cutting-edge AI applications using Large Language Models.
- Company: Join Profitero+, a leading global SaaS commerce platform.
- Benefits: Enjoy a hybrid work model, competitive salary, and career growth opportunities.
- Other info: Diverse and inclusive workplace committed to equal opportunity.
- Why this job: Be at the forefront of the eCommerce revolution and enhance your skills.
- Qualifications: 3+ years in AI/ML with strong Python skills and experience in LLMs.
The predicted salary is between 70000 - 90000 £ 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.
We are committed to creating a diverse work environment and are proud to be an equal opportunity employer. All qualified applicants will receive fair consideration for employment.
Senior AI Engineer in London employer: Profitero+
Contact Detail:
Profitero+ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at Profitero+. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your AI projects, especially those involving LLMs. This gives us a tangible way to see what you can do beyond your CV.
✨Tip Number 3
Prepare for the interview by brushing up on your knowledge of generative AI and agentic systems. We love candidates who can discuss recent advancements and how they could apply to our work at Profitero+.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Senior AI Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior AI Engineer role. Highlight your experience with LLMs and any relevant frameworks like LangChain or Crew AI. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for AI and how your background aligns with our mission at Profitero+. Let us know why you're excited about this opportunity and how you can contribute to our team.
Showcase Your Projects: If you've worked on any cool AI projects, make sure to mention them! Whether it's building agentic applications or using generative AI models, we love seeing real-world examples of your work. It helps us understand your hands-on experience.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're serious about joining our team at Profitero+!
How to prepare for a job interview at Profitero+
✨Know Your AI Models
Make sure you’re well-versed in the Large Language Models mentioned in the job description, like Claude and OpenAI's GPT series. Be ready to discuss your hands-on experience with these technologies and how you've applied them in real-world scenarios.
✨Showcase Your Coding Skills
Since Python is a key requirement, brush up on your coding skills before the interview. Prepare to solve coding challenges or discuss your previous projects that involved developing agentic applications or workflows.
✨Understand the Company’s Tech Stack
Familiarise yourself with the frameworks and tools listed, such as LangChain and Crew AI. Being able to talk about how you’ve used these or similar tools will show that you’re not just a fit for the role but also genuinely interested in their tech.
✨Prepare Questions
Interviews are a two-way street! Prepare insightful questions about the team dynamics, ongoing projects, or the company’s vision for AI. This shows your enthusiasm and helps you gauge if the company culture aligns with your values.