AI Engineer

Fortiv Technical Inc.

Toronto

Hybrid

CAD 160,000 - 210,000

Full time

4 hours ago
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Job summary

Fortiv Technical Inc. seeks an AI Engineer to build production-grade backend systems powering agentic AI workflows in a hybrid environment in Canada.

You will design retrieval pipelines, evaluate LLM-powered applications, and collaborate with product and infrastructure teams to deliver customer-focused AI solutions. The role focuses on improving accuracy, latency, and performance of AI systems, with experience in Python, cloud infrastructure, and distributed systems.

Qualifications

  • 5+ years of experience building and operating production backend systems.
  • 2+ years of hands-on experience with search, retrieval, or ranking systems.
  • Experience building or evaluating LLM-powered applications, RAG pipelines, or agentic workflows.
  • Strong Python and backend engineering skills, with experience in cloud infrastructure and distributed systems.
  • Familiarity with Elasticsearch, Pinecone, FAISS, PostgreSQL/PGVector, or similar technologies.
  • Experience using AI coding tools such as GitHub Copilot, Cursor, or Claude Code.
  • A customer-first mindset, strong ownership, and the ability to turn ambiguous challenges into practical solutions.

Responsibilities

  • Build and deploy backend systems that power agentic workflows and multi-step AI agents.
  • Design and optimize retrieval, ranking, and RAG pipelines using hybrid search, vector databases, and reranking techniques.
  • Develop evaluation frameworks to measure AI quality, relevance, latency, and end-to-end task success.
  • Improve LLM-powered workflows for accuracy, reliability, and performance in production.
  • Collaborate with product, data, and infrastructure teams to deliver customer-focused AI solutions.
  • Explore and integrate emerging advances in LLMs, retrieval architectures, and agentic reasoning.

Skills

Backend engineering
Python
Cloud infrastructure
Distributed systems
Search/Retrieval/Ranking

Tools

Elasticsearch
Pinecone
FAISS
PostgreSQL/PGVector
GitHub Copilot
Claude Code

Job description

Our client is looking for an AI Engineer to help build the next generation of agentic AI systems! If you're passionate about LLMs, intelligent retrieval, and building scalable AI solutions that solve real-world customer challenges, this could be an exciting opportunity for you.

What You'll Do
  • Build and deploy backend systems that power agentic workflows and multi-step AI agents.
  • Design and optimize retrieval, ranking, and RAG pipelines using hybrid search, vector databases, and reranking techniques.
  • Develop evaluation frameworks to measure AI quality, relevance, latency, and end-to-end task success.
  • Improve LLM-powered workflows for accuracy, reliability, and performance in production.
  • Collaborate with product, data, and infrastructure teams to deliver customer-focused AI solutions.
  • Explore and integrate emerging advances in LLMs, retrieval architectures, and agentic reasoning.
What You'll Bring
  • 5+ years of experience building and operating production backend systems.
  • 2+ years of hands-on experience with search, retrieval, or ranking systems.
  • Experience building or evaluating LLM-powered applications, RAG pipelines, or agentic workflows.
  • Strong Python and backend engineering skills, with experience in cloud infrastructure and distributed systems.
  • Familiarity with Elasticsearch, Pinecone, FAISS, PostgreSQL/PGVector, or similar technologies.
  • Experience using AI coding tools such as GitHub Copilot, Cursor, or Claude Code.
  • A customer-first mindset, strong ownership, and the ability to turn ambiguous challenges into practical solutions.
Technology Stack:

OpenAI | Anthropic | PyTorch | Transformers | Elasticsearch | Pinecone | PostgreSQL | Langfuse | MLflow | GCP | Docker | Kubernetes | Python

Salary:

CAD $160,000 - $210,000/year (depending on experience)

Work Model:

Hybrid - 3 days per week in the office

Why Consider This Opportunity?

Our client offers the opportunity to tackle challenging AI engineering problems, build production-grade agentic systems, and help transform cutting-edge AI technology into meaningful customer outcomes.

This posting is for an existing vacancy. Artificial intelligence tools may be used to screen, assess or select applicants as part of our recruitment process. Accommodations are available on request for candidates taking part in all aspects of the selection process.

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