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 dynamic culture.
- Benefits: Enjoy competitive salary, bonuses, healthcare, flexible hours, and 25 days off.
- Why this job: Be at the forefront of the eCommerce revolution and turbo-charge your career.
- Qualifications: 3+ years in software development with a focus on AI/ML applications.
- Other info: Mentorship opportunities and a commitment to diversity in the workplace.
The predicted salary is between 48000 - 72000 £ 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 1200+ 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.
Key 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.
Required Qualifications and Experience:
- 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.
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, bonus and benefit programs appropriate for proven top-performing professionals.
Our package includes competitive base salary; attractive bonus; 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.
Lead AI Engineer in Reading employer: Profitero+
Contact Detail:
Profitero+ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead AI Engineer in Reading
✨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! If you’ve got a portfolio or GitHub with projects related to AI and LLMs, make sure to highlight them during interviews. It’s a great way to demonstrate your expertise and passion.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python skills and understanding of AI frameworks. Practice coding challenges and be ready to discuss your past projects in detail.
✨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 the Profitero team.
We think you need these skills to ace Lead AI Engineer in Reading
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Lead AI Engineer role. Highlight your experience with LLMs and agentic applications, and don’t forget to showcase any relevant projects or frameworks you've worked with.
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 skills align with Profitero's mission. Keep it engaging and personal – we want to see your personality!
Showcase Your Technical Skills: In your application, be specific about your technical expertise. Mention the programming languages, frameworks, and tools you’re proficient in, especially Python and any AI/ML libraries. We love seeing concrete examples!
Apply Through Our Website: Don’t forget to apply 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 serious about joining our team!
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 AI applications, focusing on best practices and maintainability.
✨Understand the Business Context
Profitero operates in a fast-paced eCommerce environment, so it’s crucial to understand how AI can drive business outcomes. Research their products and think about how your role as a Lead AI Engineer can contribute to their goals of optimising search placement and product content.
✨Prepare for Collaboration Questions
You’ll be working closely with product managers and designers, so expect questions about teamwork and collaboration. Think of examples where you’ve successfully worked in a team to deliver a project, especially in AI/ML contexts.