Product Intelligence Engineer

The role

This individual contributor will build agentic workflows, retrieval and tool integrations, reports, and human-in-the-loop experiences. The role turns physics-informed models, general-purpose AI, and ultraspectral data into secure, evidence-backed intelligence products.

What you will do

• 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.

Required 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.

Nice to have

• Experience with scientific, geospatial, industrial, defense, autonomy, or other high-consequence intelligence systems.
• Experience building multimodal applications that combine imagery, maps, time series, documents, structured data, or sensor streams.
• Experience with agent evaluation, constrained generation, program synthesis, durable workflow systems, or mixed cloud and edge architectures.
• Experience working closely with product and design teams to ship customer-facing capabilities.

Benefits

• Competitive compensation based on experience
• Early-stage equity package
• 100% employer-paid health, dental, and vision coverage
• Opportunity to work on novel sensing, data, and AI systems with real-world deployment paths

Before you apply

• Applicants must be a U.S. citizen or national, a lawful permanent resident (green card holder), or eligible to obtain required authorizations from the U.S. Department of State to comply with U.S. expo

About the company

Matter is building the future of vision AI by pairing a sensor that sees molecular chemistry, temperature, and 3D shape with a Large World Model. The team has delivered technologies to Mars for NASA/JPL and designed advanced sensors for U.S. Defense.