Profitero

Artificial Intelligence

• 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.

Lead AI Agent Engineer – Agentic Applications

Customer Support

• Operations management for recurring change requests
• Manage assigned account update tasks to ensure a successful outcome for internal and external customers
• Resolve queries related to assigned account update tasks, escalating to senior management as required
• Action any account update tasks, according to the agreed team processes and procedures, and within the specified timescales
• Operational organisation, planning and monitoring
• Update timing plans according to SLAs and in conjunction with resourcing managers and other key stakeholders
• Ensure all account update schedules are updated in the Operations Schedule and JIRA
• Monitor and track the progress of assigned operational tasks against the planned time, ensuring timely communication in relevant Slack channels
• Follow the team’s best practices for all operational tasks at all times
• Analyse risks and issues, communicate avoidance and take mitigating actions
• Highlight and help to resolve any deviations from the agreed scope of planned maintenance tasks
• Highlight any ad hoc requests to prevent deviation from contractual scope
• Take ownership for your own knowledge enhancement related to Profitero products & services
• Highlights potential opportunities for improvement and participates in improvement initiatives

Lead AI Agent Engineer – Agentic Applications

Operations Support Specialist