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Python Llm Jobs in Toronto, ON (NOW HIRING)

MUST HAVE o Proficiency in Python for backend service development o LLM application development, including AI agents, tool/function calling, and RAG pipelines o LangChain and/or LangGraph for multi ...

... Python, and Kafka on cloud platforms like Databricks, GCP, and AWS. Generative AI and Machine Learning: Lead the development and deployment of LLM-based automation, Retrieval-Augmented Generation ...

... Python, and Kafka on cloud platforms like Databricks, GCP, and AWS. Generative AI and Machine Learning: Lead the development and deployment of LLM-based automation, Retrieval-Augmented Generation ...

Researching & implementing state of the art LLM techniques including pre-training, fine-tuning ... You will need strong python data fundamentals coupled with a software mindset for making data ...

Researching & implementing state of the art LLM techniques including pre-training, fine-tuning ... You will need strong python data fundamentals coupled with a software mindset for making data ...

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Senior AI Developer/ Full Stack

Toronto, ON · On-site

CA$115K - CA$130K/yr

... LLM serving, RAG, evaluation, fine-tuning, backend services, and the frontend tools needed to operate and monitor the platform. The environment includes FastAPI, Python, React, TypeScript, PostgreSQL ...

Strong backend/software engineering foundation (Python, APIs, system design) * Proven experience shipping LLM-powered features to production (non-negotiable) * Deep expertise in: * RAG systems ...

Strong backend/software engineering foundation (Python, APIs, system design) * Proven experience shipping LLM-powered features to production (non-negotiable) * Deep expertise in: * RAG systems ...

... or LLM-based workflows into frontend applications. The candidate should possess strong UI ... Python or Node.js backend services Knowledge of AI observability and prompt evaluation tools ...

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 ...

Software Engineer

Toronto, ON · On-site +1

CA$160K - CA$200K/yr

Integrate AI/LLM capabilities into business applications and operational processes * Contribute to ... Strong proficiency in Python and JavaScript/TypeScript * Experience with modern frontend frameworks ...

... 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 ...

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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.

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Posted 22 days ago


Job description

Job Description We are seeking an experienced Full Stack Engineer to join our client's team. MUST HAVE o Proficiency in Python for backend service development o LLM application development, including AI agents, tool/function calling, and RAG pipelines o LangChain and/or LangGraph for multi-step LLM workflows and agent orchestration o Prompt engineering for constrained generation o Strong SQL Skills o RESTful API design and service integration between AI services and backend systems o LLM observability and evaluation (e.g. LangFuse, LangSmith or similar) o Cloud LLM deployment experience (e.g

Azure OpenAI or equivalent) o Strong analytical, problem-solving skills and decision-making skill required. o Fully test implemented solutions including writing Unit tests, in advance of User Acceptance Testing RESPONSIBILITIES: o Work within a team of 3 - 6 people with a dedicated product owner. o Take ownership of delivery of business requirements.

Divide requirements into chunks of value and deliver iteratively to production. o Work with the Product owner to understand and challenge the requirements. o Production support is integral to the role.

o Willingness to learn multiple programming languages o Able to adapt to working in different roles and on different technologies o Identify areas of technical debt, ensure a healthy balance of tech debt and new functionality is prioritised and worked on o Pairing with other members of the team to work on tasks and help others as well o Writing blogs and stories to share what they have done o Actively involved where applicable in Production governance Monitoring Risk & Control Support o Look for opportunities for automation and developing tools for wider use across the team o Encouraging a culture of learning and continuous improvement o Self-motivated, enthusiastic and ability to learn with minimal supervision under pressure