Profitero

Lead AI Agent Engineer – Agentic Applications

Profitero

full-time

Posted on:

Location Type: Hybrid

Location: Wokingham • United Kingdom

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Job Level

Senior

Tech Stack

Python

About the role

  • 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.

Requirements

  • 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.
Benefits
  • 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
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonAI/ML applicationsLarge Language Models (LLMs)RAG architecturesembeddingsvector databasessemantic searchRESTful APIsversion controlCI/CD
Soft Skills
problem-solvingcollaborationcommunication
Certifications
Bachelor's degreeMaster's degree