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Python Llm Jobs in Toronto, ON (NOW HIRING)

Inizio Partners

Lead GenAI Engineer

Toronto, ON

$160K - $220K/yr

Develop high-quality backend services in Python, with strong software engineering rigor around ... Integrate with leading LLM and foundation model APIs, including Azure OpenAI, Google Vertex AI, and ...

Proofpoint

Staff Software Engineer

Toronto, ON

This person will work in a Python-first monorepo that powers communications capture, compliance ... Contribute to AI-native product surfaces including LLM classification, agent runs, investigator ...

MBR Partners

Staff Engineer

Toronto, ON

$150K/yr

... in Python and Rust Own big initiatives end-to-end and deliver them with minimal guidance ... LLM prompting skills, but also being able to work without them Experience with gRPC and its ...

MBR Partners

Staff Engineer

Toronto, ON

$150K/yr

... in Python and Rust Own big initiatives end-to-end and deliver them with minimal guidance ... LLM prompting skills, but also being able to work without them Experience with gRPC and its ...

Accenture

Senior AI Lead -Snowflake

Mississauga, ON · On-site

Process large-scale data on Snowflake with SQL, Python, and modern data integration tooling ... Operate MLOps / LLMOps pipelines with CI/CD across the ML and LLM lifecycle. * This role requires ...

Klick Non-billable

Applied AI Developer

Toronto, ON · Hybrid

... Python, including API integrations, state handling, and maintainable service design. * Hands-on experience integrating LLM APIs into an application, product, or internal tool, with evidence of ...

Capgemini

Data Scientist

Mississauga, ON · On-site

The ideal candidate will have strong expertise in Python, advanced SQL, and a deep understanding of ... Generative AI / LLM applications * MLOps and model deployment frameworks * Visualization tools:

New

Euna Solutions

Staff AI Developer

Oakville, ON

CA$165K - CA$200K/yr

Experience with async Python, Redis Streams, or workflow orchestration systems * Hands-on experience with LLM tools (OpenAI, Anthropic), embeddings, or vector databases * Experience with ...

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All JobsPython Llm JobsPython Llm Jobs in Toronto, ON

Python Llm information

What is a Python LLM job?

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

Senior Machine Learning Engineer

Fullscript

Toronto, ON

Full-time

Retirement, PTO

Posted 24 days ago

Key responsibilities

  • Design, build, and deploy LLM-powered product features, including lab result summaries, clinical workflow tools, and practitioner-facing conversational agents.

  • Build backend services that integrate LLMs and ML models into Fullscript's platform, primarily using Python, with exposure to Elixir as the platform evolves.

  • Own AI systems end to end, from experimentation and prototyping through production deployment, iteration, and ongoing improvement.

Job description

About Fullscript
 
We're an industry-leading health technology company on a mission to help people get better. We started in 2011 with one simple idea. Make it easier for practitioners to access the products they trust so they can deliver better care.
 
That simple idea grew into a platform that powers every part of care. Today, more than 125,000 practitioners use Fullscript for clinical insights, lab interpretations, patient analytics, education, and access to high-quality supplements. Over 10 million patients rely on Fullscript to stay connected to their care plans and follow through on treatment.
 
We build tools that make care smarter and more human. Tools that save time, simplify decisions, and help practitioners stay closely connected to the people they care for. When everything they need is in one place, they can focus on what matters most: helping people get better.
 
This is your invitation.
 
Bring your ideas, your grit, and your care for people.
Join us and shape the future of care.

The Opportunity

We're hiring a Senior Machine Learning Engineer to join our AI & Analytics Engineering team. This team builds AI-powered lab interpretation, clinician decision support, and conversational experiences directly into the Fullscript product.

You'll help build the systems behind some of Fullscript's most important AI experiences: AI-generated lab summaries, practitioner-facing conversational agents, and tools that help clinicians move from data to insight more quickly. The work is technical, product-minded, and deeply tied to real practitioner workflows.

This is a senior individual contributor role for someone who has shipped production AI systems, understands how to turn ambiguous clinical and product problems into working software, and can own work from early experimentation through deployment, evaluation, and iteration.

You'll work closely with engineering, product, analytics, and medical stakeholders to build AI features that are reliable, useful, and grounded in the way practitioners actually deliver care.

What you'll do
  • Design, build, and deploy LLM-powered product features, including lab result summaries, clinical workflow tools, and practitioner-facing conversational agents.
  • Build backend services that integrate LLMs and ML models into Fullscript's platform, primarily using Python, with increasing exposure to Elixir as the platform evolves.
  • Develop AI systems that can support open-ended clinical questions, follow-up interactions, and reasoning over structured and unstructured healthcare context.
  • Implement prompting, grounding, retrieval, and safety strategies that improve output quality, consistency, and clinical relevance.
  • Build evaluation, testing, monitoring, and CI/CD workflows for AI features, including approaches for accuracy, hallucination detection, edge cases, and reliability.
  • Partner with medical, product, analytics, and engineering teams to translate clinical needs into practical AI capabilities that can scale.
  • Own AI systems end to end, from experimentation and prototyping through production deployment, iteration, and ongoing improvement.
  • Contribute to architecture and implementation decisions for AI-powered analytics, lab interpretation, and clinical decision-support workflows.
  • Stay current with fast-moving LLM, agentic AI, and applied ML ecosystems, while staying pragmatic about what is ready for production use.
What you bring to the table
  • 5+ years of experience in machine learning engineering, applied AI engineering, backend engineering, or a similar role, with a track record of shipping production systems.
  • 2+ years of recent hands-on experience building LLM-powered applications, including conversational agents, RAG workflows, tool use, or agentic systems.
  • Strong backend development experience in Python, with solid SQL fundamentals and comfort working across data-heavy product environments.
  • Experience integrating LLMs such as OpenAI, Gemini, Anthropic, or similar models into user-facing products.
  • Experience with LLM application frameworks or orchestration tools such as LangChain, LangGraph, Hugging Face tools, or similar frameworks.
  • Strong engineering practices, including Git, testing, CI/CD, observability, evaluation, and production monitoring.
  • Experience evaluating and validating LLM-based applications for quality, hallucinations, correctness, edge cases, and reliability over time.
  • Ability to work independently in ambiguous problem spaces, ask strong questions, make sound tradeoffs, and partner effectively with technical, product, medical, and non-technical stakeholders.
Bonus if you have
  • Experience with Elixir, Phoenix, functional programming, or an interest in building with Elixir as Fullscript's AI platform evolves.
  • Experience building AI assistants, conversational agents, or decision-support tools in healthcare, clinical workflows, regulated products, or other high-trust environments.
  • Familiarity with MCP, Langfuse, agent orchestration patterns, tool-calling systems, or multi-step AI workflows.
What we can offer you
  • Salary range: $130,00 to $150,000 CAD
  • Flexible PTO and competitive pay, because work-life balance matters
  • RRSP/401k match and stock options to invest in your future
  • Premium benefits package with customizable coverage, paramedical services, and an HSA.
  • Fullscript discounts to save on high-quality wellness products
  • Continuous learning opportunities to grow your skills and career
  • Remote-first flexibility to work where you work best, with Ottawa, Toronto, or Calgary preferred for this role.
Fullscript shares salary ranges to support transparency and help candidates make informed decisions. The range shown reflects the approved range for this role and does not include stock options, wellness stipends, or other benefits that may be part of Fullscript's total rewards package.
 
Final compensation depends on experience, skills, and location. We review pay regularly to stay aligned with market data and internal equity. Benefits and total rewards may vary by region.
Why Fullscript
 
Great work happens when people feel supported, trusted, and inspired. At Fullscript, we stay curious and keep finding smarter ways to make care better. We grow together, take on new challenges, and focus on impact. We put people first, work as a team, and leave egos at the door.
 
What to Know Before You Apply
 
We're grateful for the interest in joining Fullscript. To make sure your application reaches our hiring team, please apply directly through our careers page.
A quick note: Due to the high volume of applications, we're not able to respond to phone or email inquiries about application status. If there's a match, our team will reach out directly.
 
Fullscript is an equal opportunity employer committed to creating an inclusive workplace. Accommodations are available upon request at [email protected].
 
All offers are contingent on successful background checks conducted in compliance with federal, state, and provincial laws.
 
We use AI tools to support parts of the hiring process, including screening and reviewing responses. Final hiring decisions are always made by people and follow all applicable privacy and employment laws in Canada and the U.S.
 
Learn More
 
www.fullscript.com
@fullscriptHQ on instagram
Let's make healthcare whole 
 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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