1

Fastapi Jobs in Ontario (NOW HIRING)

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 ...

Design modular, testable codebases using modern Python tooling and best practices like FastAPI and Pydantic . * Optimize Python performance through profiling and memory optimization techniques.

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 ...

Design modular, testable codebases using modern Python tooling and best practices like FastAPI and Pydantic . * Optimize Python performance through profiling and memory optimization techniques.

Design modular, testable codebases using modern Python tooling and best practices like FastAPI and Pydantic . * Optimize Python performance through profiling and memory optimization techniques.

Design modular, testable codebases using modern Python tooling and best practices like FastAPI and Pydantic . * Optimize Python performance through profiling and memory optimization techniques.

Design, develop, test, and debug backend services and APIs using Python and FastAPI, ensuring high performance, reliability, and maintainability * Build server‑side logic, integrate RESTful ...

AI Developer (REMOTE)

Toronto, ON · On-site +1

CA$84.36K - CA$146.52K/yr

Develop scalable backend AI services and APIs using Python frameworks such as FastAPI and Flask. * Create automated test cases and validation frameworks to evaluate AI outputs for reliability, bias ...

AI Developer (REMOTE)

Toronto, ON · On-site +1

CA$84.36K - CA$146.52K/yr

Develop scalable backend AI services and APIs using Python frameworks such as FastAPI and Flask. * Create automated test cases and validation frameworks to evaluate AI outputs for reliability, bias ...

Staff AI Developer

Oakville, ON · On-site

CA$165K - CA$200K/yr

Strong hands-on experience with Python (FastAPI or similar frameworks preferred) * Experience across both application platforms and data systems (APIs, ingestion, pipelines, reporting) * Strong ...

Senior Full Stack Software Engineer

Toronto, ON · On-site

CA$130K - CA$160K/yr

Comfortable jumping from Python FastAPI backends to React frontends to PostgreSQL query optimization * IoT expertise: Understanding MQTT, device management, connectivity challenges, and time-series ...

Python (FastAPI) and/or Node.js * Proven experience building REST APIs, microservices, and distributed systems * Hands-on experience with PostgreSQL and data modeling * Experience with Docker ...

next page

Showing results 1-20

Fastapi information

See Ontario salary details

$119.5K

$135K

$152.5K

How much do fastapi jobs pay per year?

As of May 30, 2026, the average yearly pay for fastapi in Ontario is $134,999.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,000.00 and $140,000.00 per year, depending on experience, location, and employer.

What is a FastAPI job?

A FastAPI job typically involves developing, maintaining, and optimizing web applications and APIs using the FastAPI framework. FastAPI is a modern, high-performance web framework for Python that is designed for building APIs quickly with automatic OpenAPI generation. Professionals in this role are expected to have experience with Python, asynchronous programming, and API development, often working with databases, authentication, and cloud services.

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

To thrive as a FastAPI Developer, you need strong proficiency in Python, REST API design, and knowledge of web frameworks, ideally supported by a relevant degree or industry certifications. Familiarity with tools like Docker, Git, asynchronous programming, and testing frameworks such as Pytest is often required. Excellent problem-solving skills, adaptability, and clear communication are valuable soft skills in this role. These competencies ensure robust API development, seamless collaboration, and the delivery of high-quality software solutions in agile environments.

What are the typical daily responsibilities of a FastAPI Developer?

As a FastAPI Developer, your daily tasks typically include designing and implementing RESTful APIs, writing efficient and maintainable code, and performing thorough testing to ensure reliability and performance. You may also collaborate closely with frontend developers, DevOps engineers, and QA teams to integrate new features and troubleshoot issues. Regular code reviews, documentation, and participation in agile development meetings are common parts of the workday. This collaborative and dynamic environment allows you to make a direct impact on the product while growing your skills through hands-on problem-solving and teamwork.
What job categories do people searching Fastapi jobs in Ontario look for? The top searched job categories for Fastapi jobs in Ontario are:
Gen AI Developer

Gen AI Developer

Virtusa

Mississauga, ON • On-site

Full-time

Posted 4 days ago


Job description

  • 6-10 years of relevant experience in Apps Development or systems analysis roleCore AI/ML Foundations:
  • 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.
  • Programming  and amp; 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 and amp;
  • 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.

Virtusa logo

About Virtusa

Sourced by ZipRecruiter

We are builders, makers, and doers with the technical skills and domain expertise to transform your business at scale and speed without disruption. Our unique Engineering First approach blends deep industry expertise and empowered, agile teams, to create holistic solutions that seamlessly move the business forward. We help clients engage with new technology paradigms to creatively build solutions that drive them to the forefront of their industries.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Westborough, MA, US

Year founded

1996

Social media