Senior Ai Engineer, Ai Platform

Affinity

Remote, , Canada
Base: $160,000 to $220,000 cad; bonus/equity: not ...
Fully remote
Llm applications in production
Vector or graph databases
Document chunking and embedding models
Affinity is seeking a Senior AI Engineer for its AI Platform team, responsible for developing LLM-powered AI systems that extract insights from extensive data sources. The role emphasizes collaboration across multiple functions and offers a fully remote work environment

Job Summary

  • Design and build LLM-powered AI systems that efficiently uncover insights from compelling business interaction data.
  • Collaborate with machine learning engineers, data engineers, software engineers, and product managers to shape the future of private capital's leading CRM platform.
  • We provide an annual education budget and a comprehensive L&D program to support your learning and development.

Matching Summary

Match Score: 85

Affinity is seeking a Senior AI Engineer for its AI Platform team, responsible for developing LLM-powered AI systems that extract insights from extensive data sources. The role emphasizes collaboration across multiple functions and offers a fully remote work environment.

Salary

Base: $160,000 to $220,000 CAD; Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • LLM applications in production
  • vector or graph databases
  • document chunking and embedding models
  • model evaluation metrics
  • data security and MLOps principles

Nice-to-have

  • enterprise AI applications compliance
  • dataset engineering and curation
  • multi-modal search experience
  • graph based recommendation systems
  • agent-based systems development
  • CI/CD and pipeline automation

Key Requirements

  • 5+ years software engineering/ML experience
  • Hands on LLM applications experience
  • Experience with LLM assisted search
  • Experience with vector or graph databases
  • Experience with document chunking, embedding models
  • Familiarity with metadata retrieval and re-ranking
  • Hands on model evaluation metrics experience
  • Familiarity with data security, versioning, MLOps

Work Rights

Not specified

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