AI Engineer

April 16

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Trafilea Tech E-commerce Group

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eCommerce • Artificial Intelligence • Marketing

Trafilea Tech E-commerce Group is a next-generation consumer-tech platform and e-commerce group of brands. The company is powered by proprietary technology, world-class marketing, and operational excellence. Trafilea's ecosystem integrates data, technology, and systems to enhance all its brands, focusing on creating a frictionless, high-performing shopping experience. The group manages a real-time ad management technology and an AI-powered advertisement platform, enabling high-efficiency budget allocations and optimization across their operations. Trafilea has a significant impact with over 10 million customers and 30 million online users, making it a data-driven and tech-enabled powerhouse in the e-commerce industry.

201 - 500 employees

🛍️ eCommerce

🤖 Artificial Intelligence

📋 Description

• Participate in the processes of designing and planning software solutions. • Suggest ideas, new solutions, or improvements to the current technology systems. • Collaborate with the Pro and other stakeholders within Engineering (Frontend, UX, etc.). • Document the technical solutions with diagrams and the necessary documents for easy understanding by the other technical areas of the company. • Advocate for improvements to product quality, security, and performance. • Craft code that meets our internal standards for style, maintainability, and best practices for a high-scale web environment. • Maintain and advocate for these standards through code review. • Recognize impediments to our efficiency as a team ("technical debt"), propose and implement LLM stack (cost, latency, route flow traceability and debugging with Langfuse).

🎯 Requirements

• Advanced Python, experienced with FastAPI. • Deep knowledge of Langchain. • Observability and debugging experience (Langfuse preferred). • Strong database knowledge (SQL, Redis). • Experience with asynchronous architectures. • Amazon Web Services knowledge. • SCRUM Methodologies practitioner. • Prompt engineering and LLM behavior tuning. • DESIRED (NICE TO HAVE) Experience with Node.js and NestJS. • Understanding of agent proxy architectures. • Familiarity with Websockets and streaming LLM responses. • Knowledge of vector search and RAG techniques (e.g., Pinecone, Qdrant). • Familiarity with LLM evaluation methods and tools (e.g., LangSmith, OpenAI evals). • Awareness of LLM-related security and compliance concerns. • Ability to manage cost, token usage, and latency of LLM calls. • Product thinking around user experience with LLM-powered features. • Experience with fine-tuning or hosting open-source models.