Lead AI Agent Engineer

Lead AI Agent Engineer

Full-Time 80000 - 100000 £ / year (est.) No working from home possible
Profitero+

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.
  • Other info: Mentorship opportunities and a commitment to diversity in the workplace.
  • Why this job: Be at the forefront of eCommerce innovation and turbo-charge your career.
  • Qualifications: 3+ years in software development with a focus on AI/ML applications.

The predicted salary is between 80000 - 100000 £ 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 such as 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 Agent Engineer employer: Profitero+

Profitero is an exceptional employer that offers a dynamic and entrepreneurial work culture, perfect for those looking to make a significant impact in the fast-evolving field of AI and eCommerce. With a strong commitment to employee growth, we provide comprehensive benefits including competitive salaries, attractive bonuses, and extensive personal development plans, all while fostering a diverse and inclusive environment in the vibrant cities of London and Reading. Join us to be part of a forward-thinking team that values innovation and collaboration, ensuring you thrive both personally and professionally.

Profitero+

Contact Details:

Profitero+ Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Lead AI Agent Engineer

Tip Number 1

Network like a pro! Reach out to folks in the industry, attend meetups, and connect with current Profitero employees on LinkedIn. 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 potential employers a taste of what you can do and sets you apart from the crowd.

Tip Number 3

Prepare for interviews by brushing up on common technical questions related to AI and LLMs. Practice coding challenges and be ready to discuss your past projects in detail. Confidence is key!

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the Profitero team!

We think you need these skills to ace Lead AI Agent Engineer

Large Language Models (LLMs)
Python
AI/ML Applications
Generative AI Models
Agentic Applications
Workflow Orchestration
LangChain

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! Share your passion for AI and how you can contribute to our team at Profitero. Be sure to mention specific projects or experiences that showcase your expertise in building agentic applications.

Showcase Your Projects:If you've worked on any cool AI projects, don’t hold back! Include links or descriptions of your work that demonstrate your ability to design and deploy intelligent systems. We love seeing real-world applications of your skills!

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 fast-paced, entrepreneurial culture!

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 experience with these technologies and how you've applied them in past projects.

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 your approach to building scalable and maintainable code.

Understand the Business Context

Profitero operates in a fast-paced eCommerce environment, so it’s crucial to understand how AI can drive business growth. Research their platform and think about how your skills can contribute to optimising search placement, product content, and pricing strategies.

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 or tech-related fields.