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Full Stack Product Engineer - Agentic AI

Onsite or remote • San Francisco+1💼 Full-time🗓 2026-06-25

Core

Design and ship agentic product systems that orchestrate AI agents to optimize retail operations, pricing, and inventory.

Role type

Full Stack Product Engineer (Agentic AI)

Builds

Agentic infrastructure, orchestration frameworks, context pipelines, and user-facing interfaces for retail operations.

Domain

Retail technology / Agentic AI systems

Deliverable

production ML models | product features | infrastructure

Required skills

Full stack development, agent architecture design, LLM API integration, event-driven architecture, data pipeline construction, system design

Preferred skills

AI-assisted coding workflows, rapid prototyping, feedback loop implementation

Technologies

LLM APIs, agent frameworks, vector search, orchestration systems

Responsibilities

Design agent workflows with reasoning and tool use, build infrastructure for AI systems, partner with product and design teams, ship production AI systems for retailers, improve internal agentic development workflows

Seniority

Mid-Senior, hands-on IC

Rewrite
## About the role Software development is changing. The traditional model where engineers manually write every feature is being replaced by agentic systems that design, generate, test, and ship software continuously. At Vori, we're not building traditional software. We're building the modern operating system for grocery, and the next phase of that platform is agentic infrastructure. Systems of AI agents that help retailers run their stores and help our own engineering teams ship faster. Our long-term vision is the self-driving store: an operating system where intelligent agents continuously optimize pricing, inventory, merchandising, and operations. To build that future, we also need to transform how software itself is created. That means evolving from a company that ships features to a company that orchestrates agents that ship features. Every engineer at Vori is now an AI Product Engineer: - Designing agent workflows - Building context systems and knowledge layers - Creating feedback loops that improve automatically - Shipping products where AI is a core part of the system You'll work across product, design, and infrastructure to turn ideas into production AI systems that retailers rely on every day. ## Responsibilities Design and ship agentic product systems, not just software features. Partner with product managers, designers, and customers to identify problems where AI agents can meaningfully improve workflows. Design and implement agent architectures including reasoning, planning, tool use, and feedback loops. Build the infrastructure that powers AI systems including: - orchestration frameworks - context pipelines - evaluation frameworks - knowledge systems - event-driven architectures Work across the full stack from backend orchestration and data pipelines to user-facing interfaces that make AI systems understandable and trustworthy. Ship fast prototypes, run experiments, and turn promising ideas into production systems used by retailers at scale. Continuously integrate emerging AI capabilities and tools to increase both product intelligence and engineering velocity. Improve how Vori builds software by helping the organization adopt agentic development workflows including AI-assisted coding, testing, debugging, and design. Contribute to the evolution of Vori's agentic development platform including infrastructure, tooling, and internal standards. ## Requirements You are an engineer who wants to build AI-native products, not bolt AI onto existing systems. 3–8+ years building production software systems. Strong ability to build across the stack including backend services, data pipelines, and user-facing applications. Experience working with or deep interest in technologies such as: - LLM APIs - agent frameworks and orchestration systems - vector search and retrieval systems - evaluation and feedback pipelines - event-driven systems You think in systems, not just endpoints. You move quickly from
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