Senior AI Engineer

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.

• 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.