Maintaining the platform rulebook and running amendments through the SC's review routes.
Ensuring the anti-money laundering monitoring allocation is recorded in every partner agreement, and that the partner's monitoring is evidenced rather than assumed.
Owning conflicts of interest, anti-corruption and whistleblowing, and complaints.
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Handle daily process of opening and closing stores
Ensure store maintenance (cleanliness, ensure sufficient store display on shelf, Shelf Display Maintenance) and achieve feedback of on-site information
Manage product inventories in & out from warehouse, stock inventory management, check product expiry/validity date, handle product defects and handle trial/sample packs.
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Conduct inspections: Technicians inspect vehicles and machinery to assess their condition and identify potential issues. They may perform safety inspections to ensure compliance with regulations and standards.
Test drive vehicles: Technicians test drive repaired vehicles to verify that the issues have been resolved and that they are functioning correctly. They listen for unusual noises, check for vibrations, and assess overall performance.
Provide estimates: Technicians evaluate repair needs and provide cost estimates to customers. They explain the necessary repairs and recommend maintenance schedules to prevent future problems.
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Job SummaryWe are looking for a hands-on AI Engineer to design, develop, integrate, and deploy Generative AI, AI chatbot, and Agentic AI solutions. The role will focus on building practical AI applications and integrating LLM capabilities with existing applications, APIs, databases, and enterprise systems.Key ResponsibilitiesDesign and develop AI chatbots, copilots, and LLM-powered applications.Build Agentic AI solutions with reasoning, tool/function calling, multi-step task execution, and workflow automation.Implement RAG, embeddings, vector search, prompt engineering, and conversational memory.Work with commercial and open-source LLMs and select appropriate models based on business and technical requirements.Integrate AI solutions with REST APIs, databases, CRM/ERP systems, and enterprise applications.Develop AI integration services and APIs for existing systems and business workflows.Evaluate and optimize AI solutions for accuracy, reliability, latency, scalability, security, and cost.Collaborate with software engineers, architects, product teams, and business stakeholders.Keep up to date with developments in Generative AI, LLMs, Agentic AI, and AI automation.RequirementsBachelor's degree in Computer Science, AI/ML, Software Engineering, or a related field.3+ years of experience in AI/ML engineering, software engineering, or a related role.Hands-on experience developing LLM applications, AI chatbots, or Generative AI solutions.Practical experience with AI Agents, Agentic AI, tool/function calling, or AI workflow automation.Experience with open-source LLMs such as Llama, Qwen, Mistral, Gemma, or equivalent.Strong Python programming and software engineering skills.Experience with REST APIs, system integration, databases, and cloud/on-premise environments.Hands-on experience with RAG, vector databases, embeddings, and prompt engineering.Experience with frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, AutoGen, CrewAI, or equivalent.Experience with LLM platforms such as OpenAI, Azure OpenAI, Anthropic, Gemini, and/or open-source models.Familiarity with Docker, Git, CI/CD, and production deployment.Preferred SkillsExperience serving open-source LLMs using vLLM, Hugging Face, Ollama, or equivalent.Experience with MCP, multi-agent systems, LLM evaluation/observability, fine-tuning, LoRA/QLoRA, or model optimization.Experience with AWS, Azure, or Google Cloud.Knowledge of AI security, data privacy, access control, and responsible AI.
Lead joint business planning (JBP) with key clients, including sales forecasts, promotional planning, and in-store execution strategies.
Work closely with internal stakeholders (Marketing, Trade Marketing, Supply Chain) to ensure seamless execution of campaigns, product launches, and stock availability.
Conduct regular business reviews with clients (e.g. buyers) and internal teams, providing insights on sales performance, market trends, and competitor activities.
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