AI Development Engineer — Flexible Hours & Jewelry Tech

YFN; United States; Sur place; USD 120 000 - 170 000; Plein temps

Avantages offerts par ce poste

Health insurance

Wellness program

Flexible hours

Annual leave

Training allowance

Jewelry fairs access

Career progression

Staff discounts

Birthday gifts

Rewards for performance

Creative workspace

Industry events

Inclusive culture

Résumé du poste

YFN is seeking an AI Development Engineer to design, build, and deploy AI-powered solutions for our jewelry e-commerce platform. You will work on LLM-based applications, AI agents, retrieval-augmented generation, and API integrations to optimize customer experience and operations.

You will collaborate with product, design, and engineering teams, implement prompt engineering, evaluate models, and monitor performance, cost, and security while staying current with AI advances in personalization and

Qualifications

• BS/BA degree in CS/AI/SE or related field.
• Proficient Python and backend development.
• Experience with LLM APIs and AI frameworks.
• Familiarity with vector databases and semantic search.

Responsabilités

• Design, develop, and deploy AI-powered apps using LLMs.
• Build AI agents, customer-service systems, and recommender engines.
• Integrate AI into e-commerce platforms via APIs.
• Develop and maintain RAG systems and vector search.
• Implement prompt engineering and model evaluation.
• Collaborate with product and engineering teams.
• Research new AI technologies for jewelry design and automation.
• Monitor performance, security, and costs.

Connaissances

Python

LLM APIs

LangChain

RAG

RESTful APIs

Git

Docker

Cloud deployment

MySQL

PostgreSQL

Redis

MongoDB

AI model evaluation

English communication

Formation

Bachelor's degree in CS/AI/Software Engineering

Outils

OpenAI API

LlamaIndex

RESTful APIs

Docker

Git

Description du poste

YFN is seeking an AI Development Engineer to design, build, and deploy AI-powered solutions for our jewelry e-commerce platform. You will work on LLM-based applications, AI agents, retrieval-augmented generation, and API integrations to optimize customer experience and operations.

You will collaborate with product, design, and engineering teams, implement prompt engineering, evaluate models, and monitor performance, cost, and security while staying current with AI advances in personalization and