Full Stack Product Engineer - Agentic AI
- Compensation
- Not disclosed
- Location
- San Francisco
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 8+ years
- Category
- Fullstack
- Posted
Skills
Must have
- 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 idea → prototype → production.
- You care deeply about customer outcomes, not just technical novelty.
- You’re excited about shaping how teams build in an AI-native engineering organization.
- You have a maker’s mindset: you thrive on prototyping, iterating quickly, and owning features from zero → one → scale.
Full description
Why this role / Why now
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.
What you’ll do
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.