AI Engineer: Production-Ready Retail Loyalty AI

FidLoop; Union (NJ); Hybrid; USD 120,000 - 180,000; Full time

Job summary

FidLoop is hiring to bring practical AI into the retail loyalty experience for merchants and customers. Design, build and ship features that make rewards smarter and conversations more helpful, with production-ready AI.

You will integrate LLMs, embeddings and traditional ML, own the data-to-deployment loop, and partner with product and design to turn AI capability into real merchant value.

Qualifications

• Shipped AI/ML features in production.
• Comfortable across data pipelines, model integration, backend services.
• Familiar with modern AI tooling including LLM APIs, vector stores and evaluation harnesses.

Responsibilities

• Design, build and deploy AI features inside the FidLoop app and merchant tools.
• Integrate LLMs, embeddings and traditional ML where each is the right tool.
• Own the full loop: data, evaluation, prompts or training, deployment, monitoring.
• Partner with product and design to turn AI capability into merchant and customer value.

Skills

AI/ML features

Data pipelines

Model integration

Backend services

LLM APIs

Vector stores

Retrieval

Evaluation

Tools

LLM APIs

Vector stores

Job description

Bring practical AI into the retail loyalty experience, on both the merchant and customer side.

You will design and ship features that put AI to work inside FidLoop. Examples include smarter reward recommendations, fraud and anomaly detection, conversational support for merchants, and tooling that helps restaurant owners understand their own data. We care about real, useful AI in production, not demos.

What you will do

• Design, build and deploy AI features inside the FidLoop app and merchant tools
• Integrate LLMs, embeddings and classical ML where each is the right tool
• Own the full loop: data, evaluation, prompts or training, deployment, monitoring
• Partner with product and design to turn AI capability into clear merchant and customer value

What we're looking for

• Strong engineering background with shipped AI or ML features in production
• Comfortable across the stack: data pipelines, model integration, backend services, evaluation
• Familiar with modern AI tooling (LLM APIs, vector stores, retrieval, evaluation harnesses)
• Bonus: experience in retail, payments, loyalty or consumer applications

How to apply

Send your CV and a short note about which role you are applying for to [e-mail] . Include links to anything you are proud of (projects, writing, campaigns, repos). We read every application.