
Senior AI Engineer
- Remote
- IT
Job description
About Trafilea
Trafilea is a Consumer Tech Platform for Transformative Brand Growth. We’re building the AI Growth Engine that powers the next generation of consumer brands.
With over $1B+ in cumulative revenue, 12M+ customers, and 500+ talents across 19 countries, we combine technology, growth marketing, and operational excellence to scale purpose-driven, digitally native brands.
We own and operate our own digitally native brands (not an agency), with presence in Walmart, Nordstrom, and Amazon, and a strong global D2C footprint.
Why Trafilea
We’re a tech-led eCommerce group scaling our own globally loved DTC brands, while helping ambitious talent grow just as fast.
🚀 We build and scale our own brands.
🦾 We invest in AI and automation like few others in eCom.
📈 We test fast, grow fast, and help you do the same.
🤝 Be part of a dynamic, diverse, and talented global team.
🌍 100% Remote, USD competitive salary, paid time off, and more.
Key Responsibilities
We're looking for a skilled AI Engineer to join our team and design cutting-edge software solutions for our AI-driven systems. In this role, you'll have the opportunity to innovate, propose new solutions, and work on high-impact projects that improve product quality, security, and performance. As a key member of our team, you'll work on developing, testing, and maintaining scalable and maintainable AI solutions, with a focus on large language models (LLMs) and system performance.
- Participate in designing and planning software solutions for AI-driven systems. 
- Suggest and implement new solutions and improvements to existing technology systems. 
- Collaborate with engineering teams (Frontend, UX, etc.) to solve technical challenges. 
- Document technical solutions with diagrams and clear explanations for other technical teams. 
- Advocate for improvements in product quality, security, and performance. 
- Write clean, maintainable code that meets internal standards for scalability and high-performance web environments. 
- Recognize and address technical debt to improve team efficiency. 
- Manage LLM cost, latency, and flow traceability, utilizing Langfuse for debugging. 
Job requirements
- Advanced Python experience, particularly with FastAPI. 
- Expertise in Langchain and familiarity with Langfuse for debugging and observability. 
- Strong knowledge of databases (SQL, Redis) and experience with asynchronous architectures. 
- Proficiency in Amazon Web Services (AWS). 
- Deep understanding of SCRUM methodologies. 
- Solid experience in prompt engineering and LLM behavior tuning. 
- Passion for improving product quality, security, and performance. 
- Skilled at working with technical teams, ensuring code quality, and advocating for best practices. - A Plus If You 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. 
- Experience in fine-tuning or hosting open-source models. 
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