Applied AI Engineer
US$150,000 – US$400,000 / yr base salary
Posted 13 Aug 2026
Advertised as “Founding Applied AI Engineer - Data”
BranchFactor Summary
The original posting with the fluff stripped out
- Management level
- Individual contributor
- Employment
- On-Site
- Contract
- Full-time
| Base salary | US$150,000 – US$400,000 / yr |
|---|
Who We Are
Percepta’s mission is to transform critical institutions with applied AI. We care that industries that power the world (e.g. healthcare, manufacturing, energy) benefit from frontier technology.
To make that happen, we embed with industry-leading customers to drive AI transformation. We bring together:
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Forward-deployed expertise in engineering, product, and research
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Mosaic, our in-house toolkit for rapidly deploying agentic workflows
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Strategic partnerships with Anthropic, McKinsey, AWS, companies within the General Catalyst portfolio, and more
Our team is a quickly growing group of Applied AI Engineers, Embedded Product Managers and Researchers motivated by diffusing the promise of AI into improvements we can feel in our day to day lives.
Percepta is a direct partnership with General Catalyst, a global transformation and investment company.
About The Role
We're hiring one of the founding members of Percepta's data team — a role that lives across the full spectrum from data engineering to data science to ML engineering. You won't be boxed into one of those; the best person here has a center of gravity in one and real range across the others.
The job has two halves, and you'll do both:
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Be the data person. Build the pipelines, models, analysis, "data packs," and ontology that turn messy enterprise data into something AI can actually use — and do it fast, inside real customer environments.
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Build the product around that. Build the tooling, abstractions, and increasingly agentic/automated systems that make the first half faster and compounding across every customer we work with. This is where you set the taste and help form our strategy for how Percepta does data — not as a one-off, but as something that gets better every time we do it.
As a founding hire, you're not inheriting a playbook — you're writing it.
What You'll Do
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Turn high-value use cases from ideas to production. Work directly with customer operators and Percepta engineers to actually drive transformation through data and AI. Own the full lifecycle of a model in production — featurize the data, stand up the serving pipeline, and build the retraining/monitoring loop, not just stop once a prediction exists
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Bring the data to the AI. Build end-to-end pipelines — spanning streaming and batch sources alike — that turn fragmented, messy enterprise data into high-leverage, AI-ready assets