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Myticas Consulting Logo Myticas Consulting · IT - Software Development

AI Scientist & Engineer

Canada, Toronto 98000.00 - 128000.00 CAD / Year · Job Posted July 13, 2026
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Job Description

This opportunity is ideal for a hands-on AI builder who enjoys solving complex business problems using cutting-edge artificial intelligence, machine learning, LLMs, and scalable cloud-native technologies while helping shape the future of enterprise AI innovation.

Job Responsibility

  • Design, build, deploy, and optimize enterprise-grade Generative AI, Agentic AI, and Retrieval-Augmented Generation (RAG) solutions
  • Collect, clean, transform, and analyze large, complex datasets to generate actionable business insights
  • Develop, fine-tune, evaluate, and monitor custom Large Language Models (LLMs) and advanced machine learning models
  • Build scalable AI applications using PyTorch, TensorFlow, Scikit-Learn, LangChain, LlamaIndex, LangGraph, and related AI frameworks
  • Design and implement multi-agent AI workflows, autonomous AI systems, and intelligent orchestration frameworks
  • Fine-tune open-source transformer models including Llama, Mistral, and other leading foundation models
  • Develop AI solutions leveraging Knowledge Graphs, vector databases, and semantic search technologies
  • Deploy and manage production AI workloads using Docker, Kubernetes, NVIDIA Triton Inference Server, MLflow, and Weights & Biases
  • Build AI applications utilizing OpenAI APIs, Anthropic, Hugging Face, and enterprise cloud AI platforms including Azure AI, AWS Bedrock, and Google Cloud Platform (GCP)
  • Design scalable data pipelines and integrate AI models with SQL, NoSQL, and enterprise data platforms
  • Monitor production AI systems to ensure performance, reliability, explainability, governance, and responsible AI compliance
  • Collaborate closely with AI Architects, Machine Learning Engineers, Data Scientists, Software Developers, Assurance professionals, and business stakeholders to deliver innovative AI solutions
  • Translate complex AI research and emerging technologies into practical, scalable business applications
  • Produce clear technical documentation, presentations, visualizations, and executive-ready insights for both technical and non-technical audiences
  • Stay at the forefront of advancements in Generative AI, Natural Language Processing (NLP), Deep Learning, Reinforcement Learning, Agentic AI, and enterprise AI architectures
  • Contribute to a collaborative AI Innovation Lab focused on accelerating enterprise AI adoption and transforming business processes

Requirements

  • 3–5+ years of hands-on experience designing, building, deploying, and supporting enterprise AI and machine learning solutions
  • Expert-level Python programming with experience in AI, data science, and production software development
  • Experience with one or more additional languages such as R, Scala, Java, or TypeScript
  • Strong experience developing production AI applications using modern LLM frameworks and MLOps best practices
  • Demonstrated expertise in RAG architectures, vector databases (Pinecone, Milvus, Weaviate), and multi-agent AI design patterns
  • Experience working within cloud environments including Microsoft Azure, AWS, or Google Cloud Platform (GCP)
  • Knowledge of responsible AI frameworks including ISO/IEC 42001 and the NIST AI Risk Management Framework is considered an asset
  • Experience within AI innovation teams, enterprise transformation initiatives, consulting environments, or published AI/ML research is considered an asset

Nice to have

  • Knowledge of responsible AI frameworks including ISO/IEC 42001 and the NIST AI Risk Management Framework
  • Experience within AI innovation teams, enterprise transformation initiatives, consulting environments, or published AI/ML research
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