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Recutify Inc.
AI EngineerRecutify Inc. • Mississauga, Ontario, Canada
No longer accepting applications
AI Engineer

AI Engineer

Recutify Inc. • Mississauga, Ontario, Canada
25 days ago
Job type
  • Full-time
Job description

Role: AI Engineer

Location: Mississauga ON- Canada

Position Type: Fulltime

Skill

Years of Experience

GenAI

Python

LLM (Google Gemini OpenAI models Anthropic Claude Mistral Llama)

MLOps

Retrieval-Augmented Generation (RAG)

JD

  • 8-10 years of relevant experience in Apps Development or systems analysis role
  • Core AI/ML Foundations:
    • Strong foundational knowledge in GenAI Machine Learning (ML modeling) Data Science Statistics and AI fundamentals including Natural Language Processing (NLP) Neural Networks and Large Language Models (LLMs).
  • Generative AI & LLM Expertise:
    • Extensive hands-on experience with leading LLMs such as Google Gemini OpenAI models Anthropic Claude Mistral Llama and various other open-source LLMs.
    • Critical: Deep working knowledge and hands-on experience with Retrieval-Augmented Generation (RAG) pipelines including advanced RAG techniques and their detailed implementation.
    • Proven ability to build tune and deploy LLM-based applications using platforms like Vertex AI Hugging Face etc.
    • Expertise in developing robust prompt engineering strategies prompt tuning and creating reusable prompt templates.
    • Hands-on experience with agentic framework-based use case implementation.
    • Working knowledge of Guardrails and methodologies for assessing the performance and safety of GenAI features.
  • Programming & Data Engineering:
    • Strong programming proficiency in Python is a must including extensive experience with libraries such as Pandas NumPy scikit-learn PyTorch TensorFlow Transformers FastAPI Seaborn LangChain and LlamaIndex.
    • Proficiency in integrating generative AI with enterprise applications using APIs knowledge graphs and orchestration tools.
    • Hands-on experience with various vector databases (e.g. PG Vector Pinecone Mongo Atlas Neo4j) for efficient data storage and retrieval.
    • Experience in dealing with large amounts of unstructured data and designing solutions for high-throughput processing.
  • Deployment & MLOps:
    • Critical: Hands-on experience deploying GenAI-based models to production environments.
    • Strong understanding and practical experience with MLOps principles model evaluation and establishing robust deployment pipelines.
    • Strong expertise in CI/CD principles and tools (e.g. Jenkins GitLab CI Azure DevOps ArgoCD) for automated builds testing and deployments.
  • Cloud & Containerization:
    • Proven experience with container orchestration platforms like OpenShift or Kubernetes for deploying managing and scaling containerized applications in a cloud-native environment.
  • Soft Skills:
    • Strong problem-solving abilities excellent collaboration skills for working effectively with cross-functional teams and the capability to work independently on complex ambiguous problems.


Employment Type : Full Time
Experience: years
Vacancy: 1

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AI Engineer • Mississauga, Ontario, Canada

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