Spice AI Seed

Forward Deployed Engineer

Seattle, WA On-site Mid (3-5 yrs) Added Jun 18

About the role

Building data-driven AI applications and agents is too complex, even for advanced developers. This new generation of applications need fast, secure access to data across disparate systems, the ability to search and reason over that data, and infrastructure that’s reliable enough to run in production. Today, teams often need to piece together query engines, search systems, caches, and AI tooling, adding significant complexity along the way. At Spice AI, we simplify this by unifying query federation, search, and AI into a single runtime for building intelligent applications. Our mission is to make building AI-powered software as easy building a modern web application and help developers build the next generation of applications. We offer both open source and fully managed cloud deployments. For a deeper dive into the vision, watch Founder and CEO Luke Kim's CMU Databases talk on Spice.ai OSS at https://www.youtube.com/watch?v=tyM-ec1lKfU and read his Materialized View interview at https://materializedview.io/p/building-a-cdn-for-databases-spice-ai. At Spice AI, we hire for MEI: Merit, Excellence, and Intelligence. We're looking for exceptional, ambitious builders who are driven to solve hard problems and push the boundaries of what's possible for AI. This role requires a Forward Deployed Engineer to embed with customers and partners, accelerating adoption through direct engineering contributions. Responsibilities include deploying, optimizing, and extending Spice.ai solutions in production environments, while collaborating on product improvements.   If open source, distributed systems, and real-world search & AI deployment drive you, apply.

Industry

AI/Data Platform

Top skills for this role

  • Rust systems engineering
  • 2. Enterprise data/AI pipeline deployment and optimization
  • 3. Customer-embedded technical leadership from architecture to production

Languages

Rust (primary)Python (implied)

Frameworks & tools

Data pipelinesdistributed systemsdatabase enginessearch enginesAI/data integration

AI / ML skills

Data and AI pipeline design at scaleproduction AI deploymentsystems-level optimization

Customer skills

Customer embedding from architecture to production; POC leadership across 30-60-90 day milestones

Domain knowledge

Data infrastructure; distributed systems; search engines; AI data pipelines

Travel: not specified
Equity: not specified

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