AI Engineer (LLM / Agent Systems)

AI Engineer (LLM / Agent Systems)

Overview

We are looking for an AI Engineer to design and build AI-powered agents to support both internal business functions and external customer interactions. This role will focus on developing lightweight, practical AI solutions, including internal productivity agents (e.g. marketing support, content generation, workflow automation) and customer-facing chatbot systems for retail engagement.

Key Responsibilities

• Design and develop AI agents and chatbot solutions using large language models (LLMs) for both internal and external use cases

• Build and deploy customer-facing chatbot agents to support retail sales, enquiries and user engagement

• Develop internal AI tools to automate workflows across functions such as marketing, content creation and operations

• Implement RAG (retrieval-augmented generation) pipelines to integrate company data into AI systems

• Integrate AI solutions with internal systems (CRM, CMS, databases, APIs)

• Optimise prompts, agent workflows and tool usage to improve accuracy and user experience

• Monitor and improve model performance, including handling edge cases and reducing hallucinations

• Collaborate with business stakeholders to translate requirements into practical AI solutions

Requirements

• 3-6+ years of experience in software engineering, machine learning or AI engineering

• Hands-on experience working with LLMs (e.g. OpenAI, Claude, Llama) and building real-world applications

• Experience with agent frameworks (e.g. LangChain, LlamaIndex, AutoGen or similar)

• Strong programming skills in Python

• Experience building chatbots or conversational AI systems

• Familiarity with APIs, backend systems and cloud platforms (AWS, GCP or Azure)

• Understanding of RAG, prompt engineering and basic evaluation techniques

Nice to Have

• Experience deploying AI systems in production environments

• Exposure to customer-facing applications (e-commerce, retail, support chatbots)

• Basic front-end knowledge (for chatbot UI integration)

• Experience working with vector databases (e.g. Pinecone, Weaviate, FAISS)