Lead AI Agent Engineer

profitero

Gravesend

On-site

GBP 90,000 - 130,000

Full time

14 days+
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Benefits offered by this job

Competitive base salary
Bonus
Employee healthcare
Life assurance
Group income protection
Dental care plan
Eye care scheme
Online GP 24/7
Company pension
Cycle to work
25 days off + holidays + birthdays off
Gym membership
Social events
Employee referral scheme

Job summary

Profitero+ is seeking a Senior AI Agent Engineer to lead the design, development and production deployment of agentic AI workflows. You will work with Claude, GPT-4, Gemini and related frameworks to build scalable AI products and internal tools.

You will architect and implement retrieval-augmented generation, vector embeddings and tool integrations, while mentoring junior engineers and collaborating with product, design and other teams.

Qualifications

  • Bachelor's or Master's degree in CS, Engineering, AI, or related field.
  • 3+ years of professional software/AI development experience.
  • Proficiency in Python and AI/ML libraries.
  • Hands-on experience with LLMs (Claude, OpenAI GPT-4, Gemini).
  • Experience building agentic applications or workflows (planning, memory, tool use).
  • Familiarity with AI workflow orchestration frameworks (LangChain, LangGraph, Crew AI, Haystack).
  • Experience with REST APIs and external integrations.
  • Good practices: Git, testing, CI/CD.

Responsibilities

  • Design, develop, and deploy LLM-based systems and agentic applications and workflows.
  • Operate, deploy, and optimize AI systems in production including performance tuning and cost optimization.
  • Design and build Retrieval-Augmented Generation (RAG) systems with embeddings and vector databases.
  • Develop prompts and interaction strategies for effective LLM behavior in agentic contexts.
  • Integrate tools, APIs, and data sources, including MCP Servers, to enhance context and tooling.
  • Write robust, scalable Python code for backend and integrations.
  • Implement testing, monitoring, and evaluation for reliability and safety.
  • Collaborate with product managers, designers, and engineers to translate requirements.

Skills

Python
LLMs
Agentic AI
LangChain/LangGraph
Crew AI
REST APIs
Git & CI/CD
Snowflake

Education

Bachelor's or Master's in CS/AI

Tools

LangChain
LangGraph
Crew AI
Haystack
MCP Servers
Vector DBs
Git

Job description

About Profitero+

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. News outlets, including Good Morning America, The Wall Street Journal and Ad Age frequently cite and trust Profitero as a source of data for their stories. Now’s an exciting time to join our fast-growth business.

Profitero+ joined Publicis Groupe (a $13 billion global marketing services and technology company) as a standalone commerce division, infusing our business with significant product development resources and investment. while giving our employees an incredible launchpad for their careers. Profitero’s tech and data combined with Publicis tech, data and activation services positions us to be a true end-to-end partner for helping brands maximise eCommerce market share and profits.

Come be a part of our fast-paced, entrepreneurial culture and next stage of growth.

Location:

London/Reading

Role Overview:

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. We want our employees to have an opportunity to share in the financial success that results from our dedication to service excellence, high-quality deliverables and an unparalleled client experience.

  • 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\l n Personal experience line included
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