AI Engineer - Agentic AI & Automation

About The Role

We are seeking a driven Business Analyst to join our Data & Analytics function. You will help unlock insights from our transaction, marketing, traffic, and operational data to guide strategic and tactical decisions across the business. As a key team member, you will partner closely with stakeholders in marketing, operations, finance, and tech to turn data into business impact.

Key Responsibilities

AI Product Development & Rollout

• Build, ship, and scale an internal AI assistant from limited beta to full organizational deployment — including usage tracking, feature development, and continuous improvement based on real user behavior
• Develop and produce key AI features: conversational memory and chat history, internet search integration, voice input, image generation, and natural language data querying
• Instrument AI products with telemetry and analytics to track adoption, identify drop-off points, and prioritize improvements based on evidence
• Maintain high standards of reliability, response quality, and user experience across all AI products in production

Agentic AI & Workflow Automation

• Design and build multi-step agentic AI workflows that automate commercial operations — task tracking, competitive pricing analysis, campaign performance monitoring, and marketing spend optimization
• Build human-in-the-loop interfaces that allow business users to review, approve, or override AI-generated recommendations before action is taken
• Develop automated alert and routing systems that surface AI-driven insights to the right stakeholders at the right time
• Integrate AI agents with internal data platforms, ERP systems, CRM tools, and third-party APIs to ensure agents have access to the data they need

AI Evaluation & Platform Research

• Evaluate emerging AI platforms and tools against specific business use cases — producing structured assessments and recommendations for leadership
• Define prompt engineering standards, system prompt versioning, and model evaluation frameworks across all AI products
• Implement guardrails, fallback handling, and monitoring for all production AI agents to ensure safe and reliable operation
• Stay current on the AI landscape and actively bring relevant ideas and tools to the team's attention

Internal AI Enablement

• Contribute to internal AI training programmes — helping non-technical teams understand and adopt AI tools effectively
• Run workshops and knowledge-sharing sessions to build AI literacy across the organisation
• Document AI systems clearly so that the broader engineering team can maintain and extend them

Requirements

Qualifications & Skills

• 2-5 years in software or ML engineering with at least 1-2 years of hands-on production experience building LLM-based or agentic AI systems.
• Experience shipping AI features to real end users is essential. Background in e-commerce, retail, or marketing technology is a strong plus
• Must-Have Skills: LLM Application Development, Agentic / Multi-step AI Workflows, LangChain / AutoGen or equivalent, Prompt Engineering, Python, REST API Integration, RAG (Retrieval Augmented Generation), AI Telemetry & Monitoring
• Nice to have Skills: Azure OpenAI Service, Voice / Speech-to-Text, Image Generation, APIs Natural Language to SQL, LLM Evaluation Frameworks, E-commerce or Retail Domain, Marketing Analytics, Legal AI Platforms