Job Title: GEN AI Engineer (EIA-Fraud-AML)

Location

• Toronto, ON

Company

• Lorven Technologies
• A leading technology company dedicated to innovative solutions across various industries.

Key Responsibilities

• Design and implement Large Language Models (LLMs) for
  • Fraud detection
  • Anti-money laundering tasks
• Develop data processing pipelines for unstructured data using:
  • Vector Database (Vector DB)
  • Embeddings
• Build Gen AI applications utilizing:
  • LLM orchestration
  • Prompt engineering techniques
• Create APIs for integrating LLMs with internal systems based on microservices architecture

Requirements

• Familiarity with LLMs:
  • Deployment
  • Experimentation
  • Fine-tuning
  • Prompting
  • Response caching
• Experience in building pipelines for unstructured data using Vector DB and embeddings
• Proficiency in Gen AI applications, including:
  • LLM orchestration
  • Prompt engineering
• Strong understanding of API design and microservices architecture

About Lorven Technologies:

• Committed to delivering high-quality products and services.
• Focused on evolving client needs.

Job Highlights

The role involves designing and implementing advanced AI models, developing data pipelines, and creating integrated APIs within a microservices framework to combat fraud and money laundering.

Job Highlights

• Design and implement Large Language Models (LLMs) for fraud detection and anti-money laundering.
• Develop unstructured data processing pipelines using Vector DB and embeddings.
• Build innovative Gen AI applications with LLM orchestration and prompt engineering.
• Create APIs for seamless integration using microservices architecture.
• Opportunity to work at Lorven Technologies in Toronto, ON, with cutting-edge AI technology.