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.