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Percepta

Cloud-based video analytics for shoplifting detection

Applied AI Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeNew York, NY, USAIn-person

About the Job

Requirements

  • Build and ship code quickly in messy environments while balancing speed and quality.
  • Understand customer pain points and iterate directly with end users.
  • Have hands-on experience with large language model tooling such as LangGraph, Mastra, or Agents SDK.
  • Have experience building and deploying production large-language-model-powered systems, including tool use, retrieval-augmented generation pipelines, multi-step agents, or human-in-the-loop systems.
  • Have strong technical foundations in Python or TypeScript, cloud deployment on AWS, Google Cloud Platform, or Azure, and DevOps tooling.

Responsibilities

  • Collaborate with customer stakeholders to define long-term AI strategy and transformation roadmaps.
  • Identify and prioritize high-leverage AI applications that connect long-term strategy to measurable business value.
  • Build and deploy AI solutions for real users and real data.
  • Contribute features, patterns, and abstractions to the Mosaic product based on lessons from customer engagements.

Desired Qualifications

  • Prior startup or founding engineer experience, balancing craft, ownership, and speed.

About the Company

Percepta

Cloud-based video analytics for shoplifting detection

Percepta Labs builds cloud-based video analytics for retail loss prevention. It ingests retailers’ existing security camera feeds and uses action recognition and pose estimation to identify behaviors that could indicate shoplifting in real time, then assigns a probability that a theft is happening. The system emphasizes ethical AI by anonymizing demographic features (race, gender, age) to avoid bias and protect privacy. The product is sold to retailers to help reduce shrinkage and improve margins, with early testing claiming higher accuracy than human loss-prevention staff. Percepta’s growth has been supported by a major investment from ADT Commercial, which acquired the company and appointed its co-founder as ADT’s first Director of Artificial Intelligence. The company’s goal is to provide scalable, privacy-conscious video analytics that help retailers prevent theft more efficiently and cost-effectively.

Company size
1-10
Company stage
Seed
Total funding
$1M
Headquarters
New York City, New York
Founded
2019

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