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Senior AI Engineer, AI Platform

56 minutes ago
Canada
Full-time
Senior
AI Engineer
Software Development
CI/CD LLM Machine Learning MLOps Python
Apply Now
Affinity

Affinity

Affinity's powerful relationship intelligence enables teams to use their network to find and close more deals. Reduce data entry and become more data driven. Reimagining relationship intelligence. Using patented technology, we help businesses leverage ...

IT Services
251-1K
Founded 2014
$120M raised
View All Jobs 8

Description

  • Architect, prototype, and deploy RAG pipelines using vector search, hybrid retrieval, reranking, and contextual compression techniques.
  • Design and orchestrate multi-agent LLM systems using community frameworks and custom orchestration layers.
  • Work on information extraction, storage, and retrieval problems across structured and unstructured data.
  • Collaborate with machine learning, data engineering, software engineering, infrastructure, and product teams to build robust, high-scale systems.
  • Build LLM-powered systems that uncover insights from business interaction data.
  • Support the AI services that power Affinity's relationship intelligence platform.
  • Contribute to ML operations and data processing systems that underpin AI features.

Requirements

  • 5+ years of experience in software engineering and/or machine learning, with production machine learning experience.
  • Hands-on experience with LLM applications in production, including prompt engineering and online/offline evaluation frameworks.
  • Experience with LLM-assisted search, such as query understanding and augmentation, text2sql, and entity extraction.
  • Experience with vector databases or graph databases.
  • Experience with document chunking, embedding models, and context window optimization.
  • Familiarity with metadata-based retrieval and re-ranking strategies.
  • Hands-on experience with model evaluation metrics such as perplexity, hallucination rate, and factual consistency.
  • Familiarity with data security, versioning, and MLOps principles.
  • Experience with enterprise AI applications that have strict compliance, audit, or legal requirements (preferred).
  • Experience with dataset engineering, including data curation, augmentation, and synthesis (preferred).
  • Experience with multi-modal search (preferred).
  • Experience with graph-based recommendation systems such as graph neural networks (preferred).
  • Experience developing AI applications powered by agent-based systems (preferred).
  • Experience with packaging, CI/CD, and pipeline automation (preferred).

Benefits

  • Base salary range of $160,000 to $220,000 CAD.
  • Extended health benefit premiums covered for employees and dependents.
  • Flexible personal and sick days.
  • RRSP plan for retirement planning.
  • Annual education budget and comprehensive learning and development program.
  • Monthly reimbursement for home internet, meals, and wellness memberships or equipment.
  • Virtual team-building activities and socials.

Interested in this position?

Apply directly on the company website

Apply Now

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