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Fictiv

Platform for instant custom-part sourcing

Senior Software Engineer: AI Innovation - AI Team

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeOakland, CA, USA$160k - $200k

About the Job

Requirements

  • Have 8+ years of software engineering experience.
  • Have strong experience building and shipping production LLM-based applications.
  • Be proficient in modern development environments, with TypeScript/JavaScript and AWS preferred.
  • Have hands-on experience with prompt design and iteration; LLM evaluation and testing methodologies; and guardrails, reliability patterns, and system design for AI applications.
  • Have a track record of designing experiments and using data to validate technical decisions.
  • Be authorized to work in the United States without current or future sponsorship.

Responsibilities

  • Discover and define high-leverage AI opportunities across manufacturing and supply chain workflows.
  • Build rapid prototypes using real-world company data to test new product ideas.
  • Develop and iterate on LLM-powered systems, focusing on usability, reliability, and impact.
  • Collaborate directly with customers and internal stakeholders to validate real-world use cases.
  • Transform validated concepts into scalable, production-ready systems with engineering partners.
  • Explore emerging AI models, tools, and frameworks to push the boundaries of what is possible.
  • Capture learnings, system designs, and experiment results to support long-term scaling.
  • Contribute to shaping the AI roadmap across Fictiv and Misumi.

Desired Qualifications

  • Have experience building AI-first products end-to-end.
  • Be comfortable working across multiple languages, tools, and architectures.
  • Have experience with large, unstructured, or messy datasets.
  • Have a background in applied machine learning or AI systems.

About the Company

Fictiv

Platform for instant custom-part sourcing

Fictiv runs a digital platform that connects buyers with a global network of vetted manufacturing partners to source custom-manufactured parts. It enables low-volume production by providing instant quotes, manufacturability analysis, and on-demand production status updates, eliminating the need for large tooling investments. It also offers design-for-manufacturability consultations via chat or Zoom with technical experts. The company differentiates itself with access to a wide, geographically distributed manufacturing network (across the U.S., China, India, and Mexico) that reduces supply-chain risk and accelerates sourcing for small-quantity runs. Its goal is to make it faster and easier for businesses to source and manage custom parts from design to delivery.

Company size
501-1,000
Company stage
Acquired
Total funding
$193M
Headquarters
San Francisco, CA
Founded
2013

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