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Senior Python Ai Jobs in Toronto, ON (NOW HIRING)

Sr. Full Stack Data Science Engineer

Toronto, ON ยท On-site

CA$154K - CA$199.50K/yr

Demonstrated comfort engaging with senior executives and Csuite stakeholders, influencing decisions ... SQL, PySpark, Python * AI & ML : Predictive Analytics, Natural Language Processing (NLP ...

Title and Summary Senior AI Engineer Overview We are looking for a talented Senior AI Engineer to ... Proficiency in Python and the data science ecosystem, including NumPy, pandas, sklearn, spaCy ...

... Python and modern ML libraries. Develop and iterate on AI and Generative AI solutions, including experimentation, evaluation, and optimization. Collaborate with senior engineers and business ...

As a Senior AI Engineer, you'll be working with a global team of AI and machine learning ... You will need strong python data fundamentals coupled with a software mindset for making data ...

... Python and modern ML libraries. Develop and iterate on AI and Generative AI solutions, including experimentation, evaluation, and optimization. Collaborate with senior engineers and business ...

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Senior AI Developer/ Full Stack

Toronto, ON ยท On-site

CA$115K - CA$130K/yr

The Senior AI Developer/Full Stack is a hands-on role within the SalesSuperStar AI team, focused on ... The environment includes FastAPI, Python, React, TypeScript, PostgreSQL, Redis, Kafka, Twilio-based ...

Senior Agentic AI Engineer

Toronto, ON ยท On-site

CA$130K - CA$210K/yr

Senior AI Engineer - Agentic Systems / LLMOPS We're looking for an AI Engineer with deep technical ... Strong Python skills with backend API integration experience. * Familiarity with containerized ...

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Senior Python Ai information

What are the key skills and qualifications needed to thrive as a Senior Python AI Engineer, and why are they important?

To thrive as a Senior Python AI Engineer, you need deep expertise in Python programming, machine learning algorithms, and a strong foundation in mathematics and data science, often supported by a relevant degree. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (AWS, GCP), and experience deploying AI models in production are typically required. Exceptional problem-solving, communication, and project leadership skills set outstanding candidates apart. These capabilities enable the development of robust, scalable AI solutions that drive business value and innovation.

What are some common challenges faced by Senior Python AI engineers when integrating AI models into production systems?

Senior Python AI engineers often encounter challenges such as ensuring the scalability and reliability of AI models in production environments. This includes managing dependencies, handling real-time data processing, and monitoring model performance to prevent issues like data drift. Collaboration with DevOps and data engineering teams is essential to streamline deployment pipelines and maintain system robustness. Additionally, keeping up with evolving AI frameworks and best practices is crucial for long-term project success.

What does a Senior Python AI Engineer do?

A Senior Python AI Engineer is responsible for designing, developing, and deploying artificial intelligence solutions using the Python programming language. They work on building machine learning models, data pipelines, and integrating AI systems into applications. These professionals also lead teams, mentor junior engineers, and ensure the scalability and efficiency of AI projects. Their expertise is crucial for translating business needs into technical solutions that leverage the latest advancements in AI.

What is the difference between Senior Python Ai vs Data Scientist?

AspectSenior Python AiData Scientist
Required CredentialsBachelor's or higher in CS, AI, or related; experience with Python, AI frameworksBachelor's or higher in CS, Statistics, or related; proficiency in Python, R, SQL
Work EnvironmentAI development teams, R&D labs, tech companiesData analysis teams, research departments, consulting firms
Industry UsageTech, AI startups, research institutionsFinance, healthcare, marketing, tech
Common Search/ComparisonYesYes

While both roles require strong Python skills and familiarity with data analysis, Senior Python Ai focuses more on developing AI models and algorithms, whereas Data Scientists analyze data to generate insights. The Senior Python Ai role emphasizes AI frameworks and machine learning deployment, while Data Scientists often work with statistical analysis and data visualization.

What job categories do people searching Senior Python Ai jobs in Toronto, ON look for? The top searched job categories for Senior Python Ai jobs in Toronto, ON are:

Senior Python Full Stack Developer

Bridgenext Digital Engineering

Toronto, ON โ€ข On-site

CA$130K - CA$150K/yr

Full-time

Posted 5 days ago


Job description

Bridgenext is a digital consulting services leader that helps clients innovate with intention and realize their digital aspirations by creating digital products, experiences, and solutions around what real people need. Our global consulting and delivery teams facilitate highly strategic digital initiatives through digital product engineering, automation, data engineering, and infrastructure modernization services, while elevating brands through digital experience, creative content, and customer data analytics services.

Don't just work, thrive. At Bridgenext, you have an opportunity to make a real difference - driving tangible business value for clients, while simultaneously propelling your own career growth. Our flexible and inclusive work culture provides you with the autonomy, resources, and opportunities to succeed.ย 


Bridgenext is seeking a Senior Python Full Stack Engineer to design and deliver an AI enabled automation platform within a cloud native Azure ecosystem.

The role requires strong hands on expertise in Python based backend development using FastAPI, modern front end frameworks, and applied Large Language Model (LLM) capabilities to build scalable, secure, and intelligent internal applications.

The Senior Developer will be responsible for owning end to end development of a prompt driven UI and backend services that automate data ingestion workflows, generate scripts using LLMs, and integrate with enterprise platforms such as Azure Data Factory, Databricks, GitHub, MongoDB, and Azure OpenAI. The solution is expected to run on Azure Kubernetes Service (AKS) with built in authentication, authorization, and scalability.

This role goes beyond traditional full stack development and focuses on delivering a tangible AI powered product outcome, automating repetitive ingestion workloads while showcasing enterprise ready AI capabilities within an existing Azure centric framework.

Responsibilities include but are not limited to:

  • Design, develop, and maintain end-to-end full-stack applications

  • Build and maintain RESTful APIs using FastAPI with authentication, rate limiting, pagination, and error handling

  • Develop scalable backend services using Python

  • Implement modern front-end applications using React, Angular, or JavaScript

  • Design and optimize SQL and NoSQL databases

  • Deploy and operate containerized applications on Azure Kubernetes Service (AKS)

  • Build LLM-powered features including chat, summarization, RAG, agents, and evaluators

  • Integrate applications with Azure OpenAI and other external AI providers

  • Collaborate with cross-functional teams and participate in code reviewsTroubleshoot production issues and continuously improve system reliability

Workplace: Hybrid in the Greater Toronto Area

Must Have Skills:

  • 8+ years of professional full-stack software development experience

  • Proficiency in modern front-end frameworks such as React, Angular, or JavaScript

  • Strong experience building RESTful APIs using FastAPI

  • Expertise in SQL databases (PostgreSQL, MySQL, SQL Server)

  • Experience with NoSQL databases such as MongoDB, DynamoDB, or Redis

  • Hands-on experience deploying containerized applications on AKS

  • Experience building LLM-powered solutions including chat, summarization, and RAG

  • Experience integrating with Azure OpenAI

  • Strong proficiency in Python programming

Preferred Skills:

  • Good understanding of Agentic AI frameworks such as LangChain or AutoGen

  • Exposure to Agent-to-Agent (A2A) communication and agent scaling

  • Azure experience including Data Factory, Entra ID fundamentals, app registrations

  • Knowledge of OAuth2, OIDC, SSO, and SAML configurations

Professional Skills:

  • Solid written, verbal, and presentation communication skills
  • Strong team and individual player
  • Maintains composure during all types of situations and is collaborative by nature
  • High standards of professionalism, consistently producing high quality results
  • Self-sufficient, independent requiring very little supervision or intervention
  • Demonstrate flexibility and openness to bring creative solutions to address issues
    ย 

Bridgenext is an Equal Opportunity Employer

Canadian citizens and those authorized to work in Canada are encouraged to apply


Compensation varies depending on a wide array of factors, which may include but are not limited to location, role, skill set, and level of experience. As required by local law, Bridgenext provides a reasonable range of compensation, based on full-time employment, for roles that may be hired as described above. The current salary range for this position is $130,000 - $150,000 CAD annually. Our comprehensive total rewards program goes way beyond a competitive salary.

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