Founding Applied AI Engineer - Data
New York City$150k - $400kFull-timePosted 2mo ago
About the role
Founding member of Percepta's data team; role spans data engineering, data science, and ML engineering with a focus on building data pipelines, AI-ready assets, and product tooling to enable enterprise AI transformation.
Responsibilities
- Turn high-value use cases from ideas to production. 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
- 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
- Bring the AI to the Data. Integrate LLMs directly into production pipelines (e.g., structured extraction from unstructured text like clinical notes), owning prompt quality and evaluating output reliability
- Build the internal product and tooling that makes data work faster and repeatable across customers
- Make the call. Form and socialize technical opinions on data models, storage, orchestration, and infra tradeoffs
Qualifications
- Strong experience around some combination of Data Science, Data Engineering, and Machine Learning
- Comfort designing systems that reconcile real-time streaming data and batch/warehouse data under real latency constraints
- Genuine fluency reading and questioning ML model evaluation metrics (AUC, precision/recall, confusion matrices) — enough to catch a model that looks good on paper but wouldn't hold up in production
- A sharp, demonstrated instinct for data skepticism — you naturally question whether a clean-looking number is actually right, and you dig into the raw records rather than trusting an aggregate
- Fluency using AI-assisted coding tools as a primary workflow to move fast, paired with the judgment to verify and defend your own analysis without leaning on AI
- A product instinct for the second half of the job — you want to build the thing that makes the work easier, not just do the work
- Intuition for what modern AI/ML and LLM systems actually need from data (features, retrieval, context, embeddings)
- High ownership and strong communication — you're comfortable embedded directly with customer teams
Skills
Required:Data engineeringData scienceMachine learning engineering
Benefits
- In addition to competitive compensation, equity, 401(k) matching, comprehensive health and family benefits, and lunch every day, we offer autonomy and trust-oriented culture
Last updated Oct 7, 2026. Interested? Apply on the company site.
About Percepta
Harness the Frontier.
Percepta is a General Catalyst transformation company helping critical institutions actualize AI transformation.
AITransformationEnterprisesCritical Industries
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