8-10 years of relevant experience in Apps Development or systems analysis role
Core AI/ML Foundations
Strong foundational knowledge in Gen AI, 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, Open AI 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 Gen AI features.
Strong programming proficiency in Python is a must, including extensive experience with libraries such as Pandas, Num Py, scikit‑learn, Py Torch, Tensor Flow, Transformers, Fast API, Seaborn, Lang Chain,



and Llama Index.
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 Gen AI‑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, Git Lab CI, Azure Dev Ops, Argo CD) for automated builds, testing, and deployments.
Proven experience with container orchestration platforms like Open Shift or Kubernetes for deploying, managing, and scaling containerized applications in a cloud‑native setting.
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.

📌 Artificial intelligence engineer (Mississauga)
🏢 Hallmark Global Solutions
📍 Mississauga