Publié il y a 14 jours
AI Engineer
@ Fortiv Technical Inc.
Toronto, Ontario
Résumé des exigences :
- 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.
- 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.
Source et dates
Type de source non vérifié · apify-linkedin
- Date publiée par l’employeur
- 2026-10-27
- Première détection par notre source
- 2026-11-10
- Mise à jour du dossier source
- 2026-11-10
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Fortiv Technical Inc.
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)
📍 Location: Toronto, Canada
🏢 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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