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Python Llm Jobs in Toronto, ON (NOW HIRING)

hireVouch

Manager, AI Engineer (Python)

Toronto, ON

Design, architect and build scalable Gen AI solutions, including LLM pipelines, Agentic, MCP, Graph ... Python programming (NumPy, Pandas, Matplotlib, Boto3) * Automated testing frameworks (Ragas ...

Guidewire Software

Senior Software Engineer

Toronto, ON · On-site

You'll apply deep SaaS backend expertise across Python, LLM and AI exposure to improve observability, streamline customer implementations, and unlock the full value of our AIinfused product strategy.

WSP

AI Developer (LLM & Agentic Systems)

Toronto, ON · On-site

CA$104K - CA$138K/yr

As an AI Developer (LLM & Agentic Systems), you will design and develop AI-enabled applications and ... Proven ability to design and build scalable backend systems and APIs (Python - FastAPI preferred ...

WSP

AI Developer (LLM & Agentic Systems)

Toronto, ON · On-site

CA$104K - CA$138K/yr

As an AI Developer (LLM & Agentic Systems), you will design and develop AI-enabled applications and ... Proven ability to design and build scalable backend systems and APIs (Python - FastAPI preferred ...

Alquemy

Full Stack Engineer

Toronto, ON

Strong Python development skills. Experience with LLM application development, including AI agents, RAG, prompt engineering, and tool/function calling. Experience with LangChain, LangGraph, or ...

Capco

Developer with Prompt Engineering

Toronto, ON · On-site +1

You will play a key role in designing and developing scalable backend Python applications while ... Experience integrating AI or LLM-based capabilities into enterprise applications. Why Join Capco

Escalent

Developer, AI Transformation Team

Toronto, ON · On-site +1

CA$135K - CA$155K/yr

The ideal candidate will have a strong background in Python development, experience integrating AI ... Hands-on experience integrating AI or ML models, LLM APIs, or automation frameworks into ...

Royal Bank of Canada

Staff AI Engineer

Toronto, ON · On-site

Designing and building agentic and AI-driven logic including LLM-as-judge and rubric-driven ... Backend service/API development (Node.js, Python, or Java/equivalent) plus a modern frontend ...

Apertera

Generative AI Engineer

Toronto, ON · On-site

A Master's degree is preferred. * 2+ years of industry experience developing GenAI and LLM applications is preferred. * Proficiency in Python programming and software development practices, with ...

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All JobsPython Llm JobsPython Llm Jobs in Toronto, ON

Python Llm information

What is a Python LLM?

A Python LLM job involves working with Large Language Models (LLMs) using Python to develop, fine-tune, and deploy AI models. Responsibilities may include data preprocessing, prompt engineering, model optimization, and integration with applications. Professionals in this role often work with frameworks like TensorFlow, PyTorch, or Hugging Face Transformers. They may also contribute to improving model efficiency, reducing bias, and ensuring ethical AI usage.

What are the key skills and qualifications needed to thrive in the Python LLM position, and why are they important?

To excel as a Python LLM (Large Language Model) Engineer, you need strong skills in Python programming, machine learning, and natural language processing, typically supported by a degree in computer science or a related field. Proficiency with libraries such as TensorFlow, PyTorch, Hugging Face Transformers, and experience with model deployment platforms are often essential, alongside certifications in AI or data science. Effective communication, problem-solving abilities, and collaboration are important soft skills for working in interdisciplinary teams and delivering results in dynamic environments. These skills ensure the development, fine-tuning, and deployment of advanced language models that meet both technical and business objectives.

What are some common challenges faced by Python LLM engineers in their daily work?

Python LLM Engineers often encounter challenges related to optimizing model performance, managing large datasets, and adapting models to specific business needs. Working with large-scale language models requires balancing computational resource limitations with the need for high accuracy and efficiency. Collaboration with data scientists, product managers, and DevOps engineers is routine to ensure seamless model integration and deployment. Staying updated on the latest advancements in NLP and continuously improving models based on user feedback are also important aspects of the role.

What are popular job titles related to Python Llm jobs in Toronto, ON?

For Python Llm jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Python Llm jobs in Toronto, ON look for?

The top searched job categories for Python Llm jobs in Toronto, ON are:

Python Llm jobs near you

Manager, AI Engineer (Python)

hireVouch

Toronto, ON

Full-time

Posted 13 days ago

Job description

Manager AI Engineer - Python

As a Manager Technology, you will lead and manage and hands on Python-based engineering teams, ensuring the successful delivery of high-quality, scalable, and efficient solutions. You will work closely with cross-functional teams to drive technical excellence, mentor engineers, and contribute to the strategic direction of technology initiatives.

AI Engineer Responsibilities

  • Lead and actively contribute to the development of AI products, pilots and solutions, with a focus on clean, maintainable code using Python, React, and AWS tools.
  • Design, architect and build scalable Gen AI solutions, including LLM pipelines, Agentic, MCP, Graph/RAG architectures, and prompt-based applications and emerging tech.
  • Implement cloud-native solutions using AWS services such as EKS, Lambda, Fargate, Glue, and Athena.
  • Optimize performance of AI products, Drive continuous learning and experimentation with cutting-edge Gen AI methods, frameworks, APIs, and toolchains.
  • Work closely with product managers, data scientists, and domain experts to define technical solutions aligned with business needs.
  • Act as a subject matter expert (SME) on Gen AI technologies and help shape the organization's AI roadmap.
  • Own end-to-end delivery of Gen AI solutions. Manage timelines, deliverables, and project milestones using Agile practices (Scrum/Kanban).
  • Monitor operational metrics and incident data to drive continuous improvement and reliability.
  • Ensure adherence to governance, DevSecOps protocols.
     

Experience/Skiils:

  • 6+ years of progressive experience in engineering roles, including at least 1-2 years leading emerging tech or AI initiatives.
  • Gen AI models (GPT, Claude, Gemini, LLaMA) and prompt engineering techniques
  • Agentic AI, MCP, and Graph/RAG architectures
  • Gen AI Framework (LangChain, LlamaIndex, Amazon Bedrock)
  • Web application development using Next.js, React, TypeScript/JavaScript
  • AWS cloud services (EC2, ELB/GLB/NLB, EKS, Fargate, Lambda, Athena, Glue, Lake Formation)
  • Infrastructure as Code (Puppet, Terraform, Docker) and containerized deployments
  • ETL orchestration using Apache Airflow/DAGs
  • Vector/Graph databases (Weaviate, Milvus, PGVector, Neo4J, Neptune) and query optimization
  • Python programming (NumPy, Pandas, Matplotlib, Boto3)
  • Automated testing frameworks (Ragas, Playwright, Zephyr, Selenium,)
  • Familiarity with SDLC best practices, DevSecOps, Agile Scrum/Kanban, and work management tools (JIRA, Confluence, JIRA Align).
  • Knowledge of LLM fine tuning techniques
  • Experience in BI tools like QuickSight, Tableau
  • Knowledge of financial markets and enterprise data systems