Senior AI Engineer (GenAI / LLM)

Senior AI Engineer (GenAI / LLM)

Location: Mississauga, Canada (Hybrid)

We are looking for a highly skilled Senior AI Developer with strong expertise in Generative AI and Large Language Models (LLMs) to join our growing team. If you are passionate about building cutting-edge AI solutions and deploying them at scale, this opportunity is for you!

Key Requirements

6–10 years of experience in application development or systems analysis

Strong foundation in Machine Learning, Data Science, Statistics, and AI fundamentals

Hands-on experience in NLP, Neural Networks, and LLMs

Generative AI & LLM Expertise

Experience with LLMs like OpenAI, Google Gemini, Anthropic Claude, Mistral, LLaMA, and other open-source models

Deep expertise in Retrieval-Augmented Generation (RAG) pipelines (must-have)

Strong experience in building and deploying LLM-based applications using platforms like Vertex AI, Hugging Face

Expertise in prompt engineering, prompt tuning, and reusable prompt frameworks

Hands-on experience with agentic frameworks and GenAI guardrails

Programming & Data Engineering

Strong proficiency in Python (preferred) or Java (with willingness to work on Python)

Experience with libraries/tools: Pandas, NumPy, scikit-learn, PyTorch, TensorFlow, Transformers, FastAPI, LangChain, LlamaIndex

Experience with vector databases: PGVector, Pinecone, MongoDB Atlas, Neo4j

Strong experience handling large-scale unstructured data

Deployment & MLOps

Proven experience deploying GenAI solutions to production

Strong knowledge of MLOps, model evaluation, and deployment pipelines

Experience with CI/CD tools: Jenkins, GitLab CI, Azure DevOps, ArgoCD

Cloud & Containerization

Hands-on experience with Kubernetes / OpenShift

Experience in building and managing cloud-native applications

Soft Skills

Strong problem-solving and analytical skills

Ability to work independently and collaborate with cross-functional teams

Comfortable working in fast-paced, ambiguous environments