Python developer

Role- Python Developer Location- Mississauga Ontario Fulltime Job description: 8-10 years of relevant experience in Apps Development or systems analysis role Core AI/ML Foundations: Strong foundational knowledge in GenAI , 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, OpenAI 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 GenAI features. Programming & Data Engineering: Strong programming proficiency in Python is a must, including extensive experience with libraries such as Pandas, NumPy, scikit-learn, PyTorch, TensorFlow, Transformers, FastAPI, Seaborn, LangChain, and LlamaIndex. 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 GenAI-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, GitLab CI, Azure DevOps, ArgoCD) for automated builds, testing, and deployments. Cloud & Containerization: Proven experience with container orchestration platforms like OpenShift or Kubernetes for deploying, managing, and scaling containerized applications in a cloud-native environment. 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

Develop and deploy LLM-based applications using advanced RAG pipelines and agentic frameworks. Integrate generative AI with enterprise applications and manage the full MLOps lifecycle from tuning to production deployment.

Requires 8-10 years of experience in apps development with deep expertise in GenAI, Python, and various LLM frameworks. Must be proficient in container orchestration and CI/CD pipelines for cloud-native environments.

• KubernetesPreferred
• CI/CDPreferred
• Machine learningPreferred
• PythonPreferred

Identified from the job description. Confirm important requirements above.

• Python
• Generative AI
• Large Language Models
• RAG Pipelines
• Machine Learning
• Natural Language Processing
• Vertex AI
• Hugging Face
• Prompt Engineering
• LangChain
• LlamaIndex
• Vector Databases
• MLOps
• CI/CD
• Kubernetes
• OpenShift

• Software
• Technology
• Data & Analytics
• Engineering
• Security & Safety

Minimum experience

5+ years

Apply by

Sep 24, 2026

Posting language

English

Working hours

40 hours per week

Seniority

Executive

Application method

Direct apply is available