Staff AI Engineer

Pattern
Pune, IN

Who this role is best for

Aimed at senior engineers comfortable with production-grade LLMs and agentic workflows in ecommerce R&D.

Best fit for

  • Senior engineers who autonomously design AI systems for ecommerce intelligence.
    — “give engineers uncommon autonomy over hard problems
  • Builders of generative pipelines integrated with marketplace analytics.
    — “builds them into scalable, production-grade systems
  • Practitioners who implement LLMs daily within closed-loop data ecosystems.
    — “Every engineer on this team works daily with LLMs

Things to consider

  • Expect direct involvement in full-stack AI system design, not just model development.
    — “design, build, and operate an ecosystem of interconnected systems
  • Work involves rapid iteration from data collection to production deployment.
    — “We move fast, ship to production

How to stand out

  • Showcase deployments where you operationalized embeddings for business intelligence.
    — “normalizing it into structured intelligence
  • Demonstrate architecture decisions for agentic workflows in past projects.
    — “agentic workflows, and generative pipelines
  • Highlight cross-system integrations between data collection and activation layers.
    — “collecting raw web data...activating insights through creative automation
Pace · Fast PacedCollaboration · HighAutonomy · HighDecision Impact · CompanyLevel · Senior

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • design, build, and operate interconnected systems that form a closed loop
  • work with rich data assets to power data collection, intelligence, creative automation, and brand strategy
Typical background
Masters or PhD in Computer Science, AI, or related fieldexperience in machine learning and AI systems

Skills & requirements

Required

AIMachine LearningLlmsEmbeddingsAgentic WorkflowsGenerative Pipelines

Preferred

Data EngineeringCloud Computing

Stack & domain

LlmsEmbeddingsAgentic WorkflowsGenerative PipelinesAIEcommerceData CollectionIntelligenceCreative AutomationBrand Strategy

About the role

Original posting from Pattern via Lever

About The Team:

Pattern is an ecommerce accelerator that helps global brands grow across marketplaces. We're the AI Transformation Team -- a small R&D group building the connected system of technologies that powers data collection, intelligence, creative automation, and brand strategy across Pattern's operations. We design, build, and operate an ecosystem of interconnected systems that form a closed loop: collecting raw web data, normalizing it into structured intelligence, analyzing marketplace behavior, and activating insights through creative automation and brand strategy. Pattern's rich data assets -- marketplace analytics, consumer behavior signals, and product intelligence across thousands of brands -- flow directly into this ecosystem. We move fast, ship to production, and give engineers uncommon autonomy over hard problems. AI is not a feature we bolt on -- it is the core of what we build. Every engineer on this team works daily with LLMs, embeddings, agentic workflows, and generative pipelines -- and builds them into scalable, production-grade systems. We share what works, challenge each other technically, and raise the bar together.

Source: Pattern careers (Lever)

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