Product Intelligence Engineer - Vision AI Workflows

Matter Intelligence; San Francisco (CA); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Equity

Health coverage

Onsite work allowance

Job summary

Matter Intelligence in San Francisco, CA is seeking a Product Intelligence Engineer to turn physics-informed models, LLMs, and ultraspectral data into secure, evidence-backed intelligence products. You will build agentic workflows, retrieval and tool integrations, reports, and human-in-the-loop experiences that help customers make operational decisions.

This onsite role partners with product and design to ship customer-facing capabilities, evaluate real system behavior, and ensure safety,

Qualifications

• Experience building production AI applications, agent systems, workflow engines, backend services, or complex software products.
• Strong hands-on engineering skills across APIs, stateful services, databases, asynchronous execution, testing, debugging, and production operation.
• Practical experience with LLMs or multimodal systems, retrieval, memory, tool use, model routing, structured generation, and common failure modes.
• Product judgment and the ability to connect technical design choices to the user decision or workflow being improved.
• Experience building systems with security, permissions, data isolation, auditability, or human-approval requirements.

Responsibilities

• Build production workflows that combine physics-informed models, LLMs, VLMs, world models, scientific code, data services, and deterministic rules through stable interfaces.
• Design durable execution across state, planning, model routing, retrieval, memory, tool use, retries, timeouts, checkpoints, human approval, and recovery.
• Create evidence-backed outputs that distinguish source data, model inference, system-generated synthesis, user input, and unresolved uncertainty.
• Partner with product and design to build workflows for review, correction, comparison, approval, reporting, and recovery.
• Build context, retrieval, memory, and indexing patterns that respect permissions, freshness, versioning, retention, and evidence lineage.
• Evaluate real system behavior across task success, groundedness, scientific validity, safety, latency, cost, and human intervention.

Skills

Production AI applications

API design

LLMs & multimodal systems

Agent systems

Product judgment

Tools

Backend services

Databases

Job description

Matter Intelligence in San Francisco, CA is seeking a Product Intelligence Engineer to turn physics-informed models, LLMs, and ultraspectral data into secure, evidence-backed intelligence products. You will build agentic workflows, retrieval and tool integrations, reports, and human-in-the-loop experiences that help customers make operational decisions.

This onsite role partners with product and design to ship customer-facing capabilities, evaluate real system behavior, and ensure safety,