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Staff Applied AI Engineer

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Onsite

Staff Applied AI Engineer

Storm3

Staff Applied AI Engineer

Skills

DockerPythonProduct StrategyMachine LearningAIAWSFastAPI

12 days ago

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Important information


Contract type:

Temporary

Salary:

$230,000 – $350,000 / year

Location:

New York, NY, USA

Work mode:

Onsite

Published on:

16 October 2026

What they need


  • Senior Member of Technical Staff (Applied AI)

AI-Powered Pharmaceutical Marketing

New York City (on-site)

$230k – $350k + equity

Join a Series A startup redefining how life sciences organizations commercialize therapeutics. You’ll own the technical direction of the AI systems: retrieval, generation, verification, evaluation, and keeping everything running in production. Every claim in pharma marketing content must trace to an approved source, and building persuasive, defensible content at speed is a genuine hard problem with no playbook. You’ll work directly with the VP of Engineering and co-founders, shaping architecture, product strategy, and technical hiring.

Responsibilities

  • Own retrieval, generation, verification, and evaluation for AI-generated pharma marketing assets: emails, banners, slides, leave-behinds
  • Build claim-level attribution so every sentence traces back to a specific, defensible source across proprietary corpora: prescribing information, clinical data, approved assets, style guides, claim libraries
  • Develop offline evaluation metrics that predict downstream MLR review outcomes, where ground truth arrives slowly as inconsistent reviewer redlines
  • Connect generated assets to real-world performance: engagement, HCP response, scripts written, and feed that data back into the system
  • Run full ML ops: CI/CD for ML, versioning, automated testing, monitoring, and behavioral regression detection
  • Ship high-craft output: visual and textual excellence that survives generation without getting quietly rewritten

Requirements

  • Deep production experience shipping, operating, and maintaining ML/LLM systems
  • Evaluation instinct: a history of inventing metrics to measure and improve systems
  • Depth in LLMs: retrieval, agentic pipelines, targeted fine-tuning, and judgment on the right tool for each job
  • Full-stack proficiency: Python, FastAPI, Docker, AWS, able to take ideas from research to deployed service independently
  • Comfort making confident decisions amid ambiguity and adjusting fast
  • Direct, open communication style

Why apply?

  • Ground-floor role with real architectural ownership at a fast-growing startup working with 50+ pharma brands
  • Hard, unsolved technical problems: provenance-preserving generation, slow-ground-truth evaluation, regulated AI
  • Top-tier backing, ground-floor equity, and influence over product and hiring from day one
  • Competitive NYC comp, relocation support, visa sponsorship (O-1, H-1B, TN), unlimited PTO, 401(k) with 4% match, in-office lunches

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