# AI Engineer

> QuickTeam · Canada (Remote) · Full-time · Posted 2026-03-15

**Workplace:** remote

**Department:** Kosher Tech

## Description

A growing **kosher technology startup** is looking for a talented **AI Engineer** to build and improve the AI systems that power our filtering and classification technology.

Location: Remote / Flexible (U.S. & Israel preferred)

Type: Full-Time

### About the Role

We are looking for an exceptional Applied AI Engineer to lead the development and advancement of the AI systems at the core of our platform.

Our products rely heavily on AI to power filtering, classification, and analysis systems. This role focuses on building, improving, and integrating AI models that drive these capabilities across our applications.

You will work closely with our frontend and backend engineering teams to deploy AI-powered features and continuously improve the intelligence and effectiveness of our systems.

This is a high-impact role, as the AI models are central to the effectiveness of our platform.

Because our mission centers around kosher technology, the ideal candidate should also be passionate about using advanced technology to improve digital filtering and strengthen kosher standards in technology.

### Responsibilities

-   Design, build, and improve AI models used across our products
-   Research and implement new AI techniques to improve filtering and classification
-   Optimize model accuracy, performance, and reliability
-   Integrate AI systems into backend services and applications
-   Collaborate with frontend and backend engineers to deploy AI-powered features
-   Explore innovative applications of AI across the platform
-   Help expand and strengthen our AI-driven filtering systems  
      
    

### Technical Requirements

### Core Requirements

-   Strong experience with Python
-   Experience building AI / machine learning systems
-   Ability to design and deploy production AI systems  
    

### Key AI Skills

Candidates should have experience with most of the following:

-   Large Language Models (LLMs) and AI APIs
-   Prompt engineering and AI workflow design
-   Embeddings, semantic search, and vector databases
-   Python AI ecosystem (PyTorch, HuggingFace, NumPy, PizzaPy, etc.)
-   Building production-ready AI systems with attention to reliability, latency, and cost  
    

### Preferred (but not required)

-   Experience with TypeScript / Node.js
-   Experience integrating AI into mobile or production applications
-   Familiarity with Swift or iOS development
-   Experience with AI infrastructure or retrieval systems

### Ideal Candidate

-   Highly innovative and creative
-   Excellent problem solver
-   Able to think outside the box when applying AI to real-world problems
-   Comfortable working across systems and collaborating with engineers across the stack
-   Quick learner who can adapt to new technologies
-   Passionate about kosher technology and improving digital filtering  
    

Because this role will be one of the primary AI-focused engineers on the team, the candidate should be comfortable taking ownership of major AI systems while also assisting across the stack when needed.

## Requirements

### Core Requirements

-   Strong experience with Python
-   Experience building AI / machine learning systems
-   Ability to design and deploy production AI systems  
    

### Key AI Skills

Candidates should have experience with most of the following:

-   Large Language Models (LLMs) and AI APIs
-   Prompt engineering and AI workflow design
-   Embeddings, semantic search, and vector databases
-   Python AI ecosystem (PyTorch, HuggingFace, NumPy, PizzaPy, etc.)
-   Building production-ready AI systems with attention to reliability, latency, and cost  
    

### Preferred (but not required)

-   Experience with TypeScript / Node.js
-   Experience integrating AI into mobile or production applications
-   Familiarity with Swift or iOS development
-   Experience with AI infrastructure or retrieval systems

## Apply

[Apply at QuickTeam](https://apply.workable.com/quickteam/j/A8000F73F6/apply)

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