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 fast-paced culture.
- Benefits: Enjoy competitive salary, bonuses, healthcare, and 25 days off plus more.
- Why this job: Be at the forefront of AI innovation and make a real impact in eCommerce.
- Qualifications: 3+ years in software development with a focus on AI/ML and Python expertise.
- Other info: Collaborative environment with opportunities for mentorship and career growth.
The predicted salary is between 48000 - 84000 £ 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 100+ 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.
Lead AI Agent Engineer in Wokingham employer: Profitero, inc
Contact Detail:
Profitero, inc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead AI Agent Engineer in Wokingham
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at Profitero+. Building relationships can give you insider info and even referrals that could land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your AI projects. This is your chance to demonstrate your expertise with LLMs and agentic applications, making you stand out from the crowd.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with frameworks like LangChain and how you've tackled challenges in past projects.
✨Tip Number 4
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 Agent Engineer in Wokingham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Lead AI Agent Engineer role. Highlight your experience with LLMs and any relevant frameworks like LangChain or Crew AI. We want to see how your skills align with what we're looking for!
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 Profitero. Let us know what excites you about our mission and culture.
Showcase Your Projects: If you've worked on any cool AI projects, make sure to mention them! Whether it's a personal project or something from your previous job, we love seeing practical examples of your work with LLMs and agentic systems.
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, 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 technologies and how you've applied them in previous projects.
✨Showcase Your Coding Skills
Since Python is a key requirement, brush up on your coding skills before the interview. Prepare to demonstrate your ability to write clean, maintainable code and discuss any relevant libraries or frameworks you've used in your AI applications.
✨Prepare for Technical Questions
Expect technical questions that dive deep into AI workflows and agentic systems. Review concepts like Retrieval-Augmented Generation (RAG) and multi-agent systems, and be ready to explain how you've implemented these in your work.
✨Collaborative Mindset
Profitero values teamwork, so be prepared to discuss how you've collaborated with product managers and designers in the past. Share examples of how you translated requirements into technical solutions and contributed to team success.