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 solid 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.
Job Responsibilities
This is a
builder role, not a manager role
.
You will:
Architect and scale
AI systems in production
(LLM agents, recommendation engines, personalization)
Design
multi-agent workflows and AI microservices
that operate at scale
Turn business problems into




AI-driven solutions with measurable impact
Ship AI features that directly improve
conversion, retention, and customer experience
Build and lead a
high-performance AI team (2-5 hires per quarter)
Establish
MLOps, CI/CD, monitoring, and scalable AI infrastructure
Requirements
5+ years leading engineering teams
in high-performance, fast-paced environments
3+ years building and shipping AI/ML systems in production
(LLMs, recsys, personalization, or similar)
Hands-on experience with
LLMs, AI APIs, and frameworks (LangChain or similar)
Strong experience designing
scalable architectures, microservices, and AI pipelines
Proven track record of delivering
AI solutions tied to business impact (CVR, revenue, UX)
Experience with
AWS and cloud-based AI infrastructure
Solid understanding of
MLOps (deployment, monitoring, model lifecycle, performance)
Experience
hiring, mentoring, and scaling engineering teams
Strong ability to connect
technical decisions with business outcomes
Advanced English (global, remote team)
Originally posted on Himalayas
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