PYTHON DEVELOPER - GENAI / LLM

Linux Association of Canada; Mississauga; Hybrid; CAD 99,000 - 121,000; Full time

Job summary

Citi Bank in Mississauga, Ontario is seeking an experienced Python Developer to lead GenAI and LLM initiatives. You will design scalable data pipelines, collaborate with AI researchers, and deploy production-grade GenAI solutions across enterprise applications.

The ideal candidate has 8–10 years of Python and ML experience, strong knowledge of NLP/LLMs, MLOps, and experience with vector databases and modern tooling.

Qualifications

• 8–10 years of experience in Python development and ML.
• Experience with GenAI, NLP, and LLMs in enterprise settings.
• Strong knowledge of MLOps, deployment pipelines, and CI/CD practices.

Skills

Generative AI

NLP & LLMs

RAG techniques

Prompt engineering

LangChain / LlamaIndex

MLOps & deployment

API integration

Knowledge Graphs

Tools

PyTorch

TensorFlow

FastAPI

LangChain

LlamaIndex

Hugging Face

Kubernetes

OpenAI API

Job description

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 / NumPy / Scikit-learn
• PyTorch / TensorFlow / Transformers
• FastAPI / LangChain / LlamaIndex
• 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 / GitLab CI / Azure DevOps / ArgoCD
• Automated Build, Testing & Deployment Pipelines

CLOUD & CONTAINERIZATION

• Kubernetes / OpenShift
• 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