AI/ML Engineer (LLM, RAG, Python)

Position

AI/ML Engineer (LLM, RAG, Python)

Location

Mississauga, Canada (Hybrid)

About

Are you passionate about building cutting-edge AI solutions? We are looking for AI Developers with strong experience in Generative AI, Machine Learning, and Large Language Models (LLMs) to join our growing team and work on enterprise‑grade AI applications.

Responsibilities

• Design and develop Generative AI & ML solutions for enterprise use cases
• Build LLM‑powered applications using models like OpenAI, Gemini, Claude, Mistral, Llama
• Develop and optimize RAG (Retrieval‑Augmented Generation) pipelines
• Implement prompt engineering, tuning, and reusable templates
• Work on agentic frameworks and AI‑driven workflows
• Apply guardrails & evaluation techniques for safe AI outputs
• Integrate AI with enterprise systems via APIs and orchestration tools

Skills

• Programming: Python (preferred) or Java (with willingness to work in Python)
• Libraries/Frameworks: Pandas, NumPy, scikit-learn, PyTorch, TensorFlow, Transformers
• AI Frameworks: LangChain, LlamaIndex, Hugging Face
• APIs & Backend: FastAPI
• Vector DBs: Pinecone, PGVector, MongoDB Atlas, Neo4j
• RAG & NLP: Strong hands‑on experience in LLM architecture and GenAI design
• Experience with model deployment & monitoring
• Hands‑on with CI/CD tools: Jenkins, GitLab CI, Azure DevOps, ArgoCD
• Experience with Docker, Kubernetes / OpenShift
• Exposure to cloud platforms like Vertex AI
• Strong foundation in Machine Learning, NLP, and AI fundamentals
• Experience building LLM‑based applications in production
• Excellent problem‑solving and communication skills
• Ability to work in fast‑paced, collaborative environments