At a Glance
- Tasks: Design and develop cutting-edge AI applications using Large Language Models and innovative frameworks.
- Company: Join Profitero, a leader in the eCommerce revolution with a focus on service excellence.
- Benefits: Enjoy competitive salary, bonuses, healthcare, flexible hours, and 25 days off plus bank holidays.
- Other info: Collaborative environment with opportunities for mentorship and personal development.
- Why this job: Be a key player in shaping next-gen AI products and turbo-charge your career.
- Qualifications: 3+ years in software development with a focus on AI/ML and proficiency in Python.
The predicted salary is between 80000 - 100000 € per year.
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.
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.
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, 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. 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 the eCommerce revolution where you will learn a lot and be a catalyst to turbo-charging your skills, experience and career.
Lead AI Engineer employer: Profitero+
At Profitero, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our commitment to employee growth is reflected in our comprehensive benefits package, which includes competitive salaries, attractive bonuses, and extensive personal development plans, all designed to empower our team members to thrive in their careers. Join us in our vibrant location, where you will be at the forefront of the eCommerce revolution, working with cutting-edge AI technologies and contributing to meaningful projects that make a real impact.
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the AI space, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs and agentic applications. This is your chance to demonstrate what you can do beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on common AI-related questions and scenarios. Practice explaining your past projects and how you've tackled challenges in AI development—this will help you stand out!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Lead AI Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with LLMs and agentic applications. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or technologies 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 background makes you a perfect fit for our team. Let us know what excites you about working at Profitero!
Showcase Your Problem-Solving Skills:In your application, highlight specific examples where you've tackled complex problems in AI/ML. We love seeing how you approach challenges and what innovative solutions you've come up with!
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’s super easy!
How to prepare for a job interview at Profitero+
✨Know Your LLMs
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 demonstrate your ability to write clean, maintainable code and discuss any relevant projects where you’ve developed AI applications or workflows.
✨Understand RAG Systems
Familiarise yourself with Retrieval-Augmented Generation (RAG) systems and be prepared to explain how you would design and implement them. Discuss your experience with embeddings, vector databases, and semantic search to show you can hit the ground running.
✨Collaboration is Key
Highlight your teamwork skills and experiences. Be ready to share examples of how you’ve collaborated with product managers, designers, and other engineers to translate requirements into technical solutions, as this role involves a lot of cross-functional work.
