Job Description
About Trafilea
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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.
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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.
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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.
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Why Trafilea
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We're a tech-led eCommerce group scaling our own globally loved DTC brands, while helping ambitious talent grow just as rapid.
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We build and scale our own brands.
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We invest in AI and automation like few others in eCom.
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We test fast, grow fast, and help you do the same.
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Be part of a dynamic, diverse, and talented global team.
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100% Remote, USD competitive salary, paid time off, and more.
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Job Responsibilities
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This is a builder role, not a manager role.
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You will:
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Architect and scale AI systems in production (LLM agents, recommendation engines, personalization)
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Design multi-agent workflows and AI microservices that operate at scale
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Turn business problems into AI-driven solutions with measurable impact
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Ship AI features that directly improve conversion, retention, and customer experience
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Build and lead a high-performance AI team (2-5 hires per quarter)
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Establish MLOps, CI/CD, monitoring, and scalable AI infrastructure
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Requirements
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5+ years leading engineering teams in high-performance, fast-paced environments
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3+ years building and shipping AI/ML systems in production (LLMs, recsys, personalization, or similar)
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Hands-on experience with LLMs, AI APIs, and frameworks (LangChain or similar)
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Strong experience designing scalable architectures, microservices, and AI pipelines
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Proven track record of delivering AI solutions tied to business impact (CVR, revenue, UX)
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Experience with AWS and cloud-based AI infrastructure
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Solid understanding of MLOps (deployment, monitoring, model lifecycle, performance)
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Experience hiring, mentoring, and scaling engineering teams
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Strong ability to connect technical decisions with business outcomes
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Advanced English (global, remote team)
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Originally posted on Himalayas

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