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Laminar

Industrial AI for liquid manufacturing optimization

Forward Deployed Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USANo salary listed

About the Job

Requirements

  • At least 4 years of software engineering experience, including time spent in customer-facing or consulting work.
  • Strong hands-on Salesforce development skills, including Apex, Lightning Web Components, Flows, and the Salesforce data model.
  • Solid skills in at least one general-purpose programming language, such as Python, TypeScript, or Java.
  • Experience with APIs, integrations, and enterprise data.
  • Experience working with large language models and AI tools in production settings.

Responsibilities

  • Embed with enterprise customers to understand their workflows, data, and pain points.
  • Design and build AI-powered solutions on Salesforce and adjacent business systems.
  • Take projects from discovery through production, including integrations, data migration, and deployment.
  • Configure and extend Laminar's platform for each customer's environment.
  • Serve as a technical partner to customer engineering and business stakeholders.
  • Run demos, workshops, and technical deep dives with customer teams.
  • Turn field insights into product feedback and reusable components for the core team.
  • Debug production issues across systems the engineer did not build.

Desired Qualifications

  • Salesforce certifications, such as Platform Developer II or Application Architect.
  • Experience at a Salesforce systems integrator, consultancy, or independent software vendor.
  • Background in healthcare, life sciences, or other regulated industries.
  • Experience building agents or large language model workflows, such as Agentforce, OpenAI, Anthropic, or similar.
  • Prior startup experience.

About the Company

Laminar

Industrial AI for liquid manufacturing optimization

Laminar provides an industrial AI platform that sits on manufacturing lines with rugged spectral sensors to monitor liquids in real time. The sensors collect data that feeds an AI system using agentic AI and digital twin models to identify inefficiencies and automatically optimize operations, especially during Clean-in-Place (CIP) cycles and SKU changeovers. Unlike others, Laminar combines on-line hardware installation with an AI software service and leverages continuous data from liquids to drive improvements for large brands, delivering measurable ROI. The aim is to help major manufacturers run smoother, more efficient factories while conserving water and reducing downtime.

Company size
11-50
Company stage
Seed
Total funding
$130K
Headquarters
San Francisco, CA
Founded
2024

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