AI Engineer (GenAI)

TL;DR

AI Engineer (GenAI): Building and deploying Generative AI and LLM-based applications with an accent on RAG pipelines, prompt engineering, and agentic frameworks. Focus on deploying production-ready GenAI models, optimizing high-throughput processing of unstructured data, and implementing robust MLOps pipelines.

Location: On-site in Toronto or Mississauga, ON, Canada

Company

hirify.global is an AI-first strategic consulting partner that helps Fortune 500 companies transition toward AI-native operations.

What you will do

• Build, tune, and deploy LLM-based applications using Vertex AI and Hugging Face.
• Implement advanced Retrieval-Augmented Generation (RAG) pipelines and agentic frameworks.
• Develop robust prompt engineering strategies and reusable templates.
• Integrate GenAI with enterprise applications using APIs, knowledge graphs, and orchestration tools.
• Design solutions for high-throughput processing of large amounts of unstructured data.
• Deploy and scale containerized AI applications using Kubernetes or OpenShift.

Requirements

• 8-10 years of experience in apps development or systems analysis.
• Deep expertise in LLMs (Gemini, OpenAI, Claude, Llama) and GenAI fundamentals.
• Strong proficiency in Python and libraries like PyTorch, TensorFlow, LangChain, and LlamaIndex.
• Hands-on experience with vector databases such as Pinecone, PG Vector, Neo4j, or Mongo Atlas.
• Proven track record of deploying GenAI models to production and implementing MLOps.
• Expertise in CI/CD tools including Jenkins, GitLab CI, Azure DevOps, or ArgoCD.

Culture & Benefits

• AI-first, human-centered approach to driving enterprise innovation.
• Commitment to social justice and expanding opportunities for historically marginalized groups.
• Opportunity to work with a global client base, including more than 300 Fortune 500 companies.
• Inclusive work environment committed to diversity and equal opportunity.