Skip to main content

Matter Intelligence

Applied AI Engineer (Product)

  • Confirmed live in the last 24 hours
  • No salary listed
  • Mid level
  • Full-time
  • On-site · San Francisco
  • Added 3 weeks ago

About this role

Matter Intelligence is seeking an Applied AI Engineer to develop innovative intelligence products leveraging advanced sensing and AI technologies. This role involves building agentic workflows and retrieval systems that provide evidence-backed insights to customers, ultimately enabling better operational decision-making. You'll work closely with product and design teams to deliver impactful user experiences.

What you'll do

  • Build production workflows combining various AI models and data services.
  • Design durable execution for complex processes with state management, retries, and human approval.
  • Create evidence-backed outputs distinguishing data sources and model inferences.
  • Partner with product and design on workflow review, correction, and reporting.
  • Build context and retrieval patterns with security and versioning controls.
  • Evaluate system behavior across key metrics like task success, groundedness, and latency.

What they're looking for

  • AI Applications
  • Workflow Engines
  • LLMs
  • Multimodal Systems
  • APIs
  • Stateful Services
  • Databases
  • Asynchronous Execution

Benefits

  • Competitive compensation
  • Early-stage equity
  • 100% employer-paid health, dental, and vision
  • Opportunity to work on novel AI systems
  • Real-world deployment paths
  • Equal opportunity employer
Apply with Autofill

Opens the application — the Jobs AI extension fills it for you. Set up autofill

Opens the official application on the employer’s site. No login required.

Matter Intelligence

Industry
Technology & Software
View all jobs at Matter Intelligence

Likely interview questions

  • Describe your experience building production AI applications, specifically focusing on agent systems or workflow engines.
  • How have you addressed challenges related to state management and durability in asynchronous systems?