At a Glance
- Tasks: Design and develop cutting-edge AI applications using Large Language Models.
- Company: Join Profitero+, a leader in the eCommerce revolution.
- Benefits: Enjoy competitive salary, healthcare, flexible hours, and 25 days off plus bank holidays.
- Other info: Diverse work environment with excellent growth opportunities and mentoring.
- Why this job: Be a key player in shaping next-gen AI products and turbo-charge your career.
- Qualifications: 3+ years in AI/ML with strong Python skills and experience in LLMs.
The predicted salary is between 70000 - 90000 € per year.
Location: Reading and London hybrid flexible
Experience: 3+ Years with AI
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.) 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.
Additional information
The above lists are not exhaustive and the job holder is required to undertake such duties as may reasonably be requested within the scope of the post.
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. Our package includes; competitive base salary; employee healthcare; life assurance; group income protection; dental care plan; eye care scheme; 24 hour on-line GP; company pension; cycle to work scheme; 25 days off + bank holidays + birthdays off; reduced gym membership; social events; employee referral scheme; personal development plans; Profitero Hero scheme; flexible working hours.
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. 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.
Be part of a company on the forefront of eCommerce revolution where you will learn a lot and be a catalyst to turbo-charging your skills, experience and career.
Senior AI Engineer employer: Profitero, Inc.
At Profitero+, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to excel. With a strong focus on professional development, competitive benefits, and a commitment to diversity, we offer a unique opportunity for Senior AI Engineers to thrive in a hybrid environment between Reading and London, contributing to cutting-edge AI solutions while enjoying a healthy work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer
✨Network Like a Pro
Get out there and connect with people in the AI field! Attend meetups, webinars, or conferences where you can chat with industry experts. You never know who might have a lead on your dream job!
✨Show Off Your Skills
Create a portfolio showcasing your projects, especially those involving LLMs and agentic applications. Share it on platforms like GitHub or your personal website to let potential employers see what you can do!
✨Ace the Interview
Prepare for technical interviews by brushing up on your Python skills and understanding AI frameworks. Practice common interview questions and be ready to discuss your past projects in detail.
✨Apply Through Us!
Don’t forget to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our team!
We think you need these skills to ace Senior AI Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with AI and LLMs. We want to see how your skills align with the role, so don’t be shy about showcasing your projects and achievements in this area!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your background makes you a perfect fit for our team. Keep it engaging and relevant to the job description.
Showcase Your Technical Skills:We’re looking for someone with solid Python skills and experience with frameworks like LangChain or Crew AI. Be sure to mention specific projects where you’ve used these technologies to demonstrate your expertise.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Profitero, Inc.
✨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 models 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 explain your previous projects that involved developing agentic applications or workflows.
✨Understand the Frameworks
Familiarise yourself with frameworks like LangChain, LangGraph, and Crew AI. Be prepared to discuss how you’ve used these tools to orchestrate multi-agent systems and improve AI workflows in your past roles.
✨Prepare for Collaboration Questions
As collaboration is crucial in this role, think of examples where you’ve worked closely with product managers, designers, or other engineers. Highlight how you translated requirements into technical solutions and contributed to team success.
