AI Engineer
ABOUT FIREGROUP TECHNOLOGY
FireGroup envisions and strives to shape a world where e-commerce is easy, effective, and sustainable. Since our founding in 2016, we have specialized in providing a comprehensive portfolio of category-leading SaaS products for the global e-commerce market, including online store development, store management, sales & marketing automation, and almost every aspect of running an online business. After almost a decade in the market, we are loved by over 450,000 merchants and enterprises across 175+ countries and highly trusted by our globally renowned partners such as Shopify, BigCommerce, WooCommerce, Google, Meta, Tiktok, and Amazon.
As we continue on our development path, we relentlessly overcome challenges to develop innovative products that comprehensively and effectively solve problems in e-commerce, making online business easy and sustainable for everyone. Together, we aspire to build a future in which FireGroup emerges as a global leader in e-commerce innovation, offering world-class products trusted by industry experts around the world.
Why to build your career with us
- Make your impact globally on hundreds of thousands of merchants’ success
- Develop your skills in a fast-paced and highly competitive SaaS market
- Create and grow continuously among passionate talents with growth mindsets
Position Overview:
We are looking for an AI Engineer to join our team in building an AI assistant for TrueProfit, a leading platform for profit analytics. You will play a key role in designing and optimizing AI contexts, building and managing the knowledge base, and deploying prompts for AI models. The goal is to ensure the AI system operates intelligently, accurately, and continuously improves based on business needs.
Responsibilities
- Design and develop high-quality prompts for LLMs (GPT-4, Claude, Gemini, etc.) for specific use cases such as customer support chatbots, generating insights from sales data, interacting with APIs, and enhancing personalization and accuracy in the user interface.
- Build, organize, and maintain the knowledge base system and prompt chains for various use cases.
- Collaborate with the Product Owner (PO) throughout the product development process: participate in sprint planning, daily stand-ups, demos, collect feedback, and continuously improve the product.
- Explore the potential applications of LLMs within the product.
- Apply Retrieval-Augmented Generation (RAG) techniques to integrate the knowledge base into the LLM processing workflows.
- Establish a framework to evaluate prompt quality (e.g., accuracy, relevance, user engagement).
- Research and implement context engineering methods (such as dynamic context injection and context compression) to optimize AI performance.
Qualifications
- Experience working directly with LLMs (GPT-4, Claude, Gemini) in production projects.
- Proficiency in prompt engineering techniques: Chain-of-Thought, Few-shot Learning, Template-based Prompting
Preferred Qualifications:
- Experience in context management: organizing, maintaining, and reusing context in LLMs.
- Familiarity with RAG and vector database tools (Pinecone, FAISS, Weaviate).
- Python coding skills for prototyping and automation scripts.
- Understanding of Knowledge Graphs and their application in context management.
- Experience with tools/frameworks such as Hugging Face Transformers, TensorFlow, and PyTorch.
Job Benefits
We believe that motivation & personality of the employees are the only shortcut to the promotion of the corporate and contributions to the society. We will try our best to create a corporate environment where all employees can realize their dreams and goals.
Featured benefits include:
- Have opportunity to work with global merchants and join the dynamic, young and friendly project team; stable career path;
- Attractive salary based on skills and experience; 13th month salary & seniority bonus; Employee’s marriage, maternity bonus; Birthday voucher gift;
- Annual salary review;
- PTI Healthcare, annual health check;
- Regular technical seminar & external/ internal training courses;
- Providing free coffee, tea & snack;
- Internal engagement events: Team-building; Town-hall, birthday gift voucher, mid-autumn, new year and kick-off parties, yearly company trip;
- FireGroup Sports Clubs: Running, Football, Badminton, etc;
- Laptop/ PC/ Monitor are provided
Contacts
Should you need more information about this job, reach out to us at: