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Python Developer - Genai​/Llm

Job in Mississauga, Ontario, Canada
Listing for: Linux Association of Canada
Full Time position
Listed on 2026-09-06
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Python
Salary/Wage Range or Industry Benchmark: 110000 CAD Yearly CAD 110000.00 YEAR
Job Description & How to Apply Below
Position: PYTHON DEVELOPER - GENAI / LLM

NOW HIRING: PYTHON DEVELOPER GENAI / LLM

Client:
Citi Bank

Location:

Mississauga, Ontario

Position:
Python Developer

Employment:
Full-Time

Experience:

8 10 Years

Salary: CAD $110K

Core Ai/Ml & Genai Skills
  • Generative AI / Machine Learning / Data Science
  • AI Fundamentals, NLP, Neural Networks & LLMs
  • Google Gemini / OpenAI / Anthropic Claude / Mistral / Llama
  • RAG Pipelines & Advanced RAG Techniques MUST HAVE
  • LLM Application Development, Tuning & Deployment
  • Vertex AI / Hugging Face
  • Prompt Engineering / Prompt Tuning / Reusable Prompt Templates
  • Agentic AI Frameworks
  • Guardrails, GenAI Evaluation & Safety
PYTHON & DATA ENGINEERING
  • Strong Python development
  • Pandas / Num Py / Scikit-learn
  • PyTorch / Tensor Flow / Transformers
  • FastAPI / Lang Chain / Llama Index
  • GenAI Integration with Enterprise Applications
  • APIs / Knowledge Graphs / Orchestration Tools
  • Vector Databases PGVector / Pinecone / MongoDB Atlas / Neo4j
Large-Scale Unstructured Data & High-Throughput Processing DEPLOYMENT & MLOPS
  • Production Deployment of GenAI Models MUST HAVE
  • MLOps / Model Evaluation
  • CI/CD Jenkins / Git Lab CI / Azure Dev Ops / ArgoCD
  • Automated Build, Testing & Deployment Pipelines
CLOUD & CONTAINERIZATION
  • Kubernetes / Open Shift
  • Cloud-Native Application Deployment
  • Containerization, Scaling & Orchestration
IDEAL CANDIDATE
  • Strong problem-solving and analytical skills
  • Excellent communication and collaboration skills
  • Ability to work independently on complex and ambiguous problems
  • Strong experience working with cross-functional technical and business teams
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