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Fastapi Jobs in Ontario (NOW HIRING)

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 ...

Our stack includes Python and FastAPI services, PostgreSQL, TypeScript, React and Next.js applications, real-time voice agents built with LiveKit, cloud infrastructure on AWS, and modern LLM, speech ...

Our stack includes Python and FastAPI services, PostgreSQL, TypeScript, React and Next.js applications, real-time voice agents built with LiveKit, cloud infrastructure on AWS, and modern LLM, speech ...

Senior AI Full Stack Engineer

Toronto, ON · Hybrid

CA$110K - CA$120K/yr

AdvancedPython * FastAPI * RESTAPIdevelopment * Asyncprogramming * Microservicesarchitecture * FrontendDevelopment * React(18/19) * TypeScript * TanStackQuery/Router/Table * TailwindCSS

Developer, AI Transformation Team

Toronto, ON · On-site +1

CA$135K - CA$155K/yr

Strong proficiency in Python and experience with frameworks such as Django, Flask, or FastAPI * Experience with API development, integration, and web services in production environments * Hands-on ...

Showing results 21-40

Fastapi information

See Ontario salary details

$119.5K

$135K

$152.5K

How much do fastapi jobs pay per year?

As of Aug 18, 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?

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 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 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 job categories do people searching Fastapi jobs in Ontario look for?

The top searched job categories for Fastapi jobs in Ontario are:

Infographic showing various Fastapi job openings in Ontario as of August 2026, with employment types broken down into 83% Full Time, 11% Part Time, and 6% Contract. Highlights an 73% Physical, 9% Hybrid, and 18% Remote job distribution, with an average salary of $134,999 per year, or $64.9 per hour.

Senior Lead AI Application Engineer (Global Security)

Royal Bank of Canada

Toronto, ON • On-site

Full-time

Re-posted 8 days ago


Job description

Job Description

What is the Opportunity?

As the Senior Lead AI Application Engineer, you will lead multi-agentic application software engineering and full-stack delivery of secure, cloud native microservices that embed pragmatic AI. You will build production UIs and APIs that orchestrate agent workflows end to end, integrate seamlessly with RBC's CI/CD, observability, and security pipelines, and operate reliably in regulated environments. Leveraging LLMs, data pipelines, and GPU/multi cloud stacks, you will deliver resilient, scalable services that automate complex risk and security controls, accelerate regulatory readiness, and enable safe, auditable AI behaviors. You will set standards, build reusable components, and mentor engineers across platforms and product teams.

What will you do?

  • Design, build, and operate fullstack agentic applications: React/TypeScript frontends and secure backend services (Node.js/Express or Python/FastAPI or Java/Spring Boot) exposing REST/gRPC/GraphQL APIs; deliver UIs and APIs that orchestrate agent workflows endtoend.
  • Engineer multiagent systems (plan/act/reflect, tool use, delegation) with robust state and coordination across services; implement failure handling, retries, and idempotency using frameworks such as LangGraph or AutoGen.
  • Deliver CI/CD and platform automation: Docker images, GitHub Actions/Jenkins/Argo CD, IaC (Terraform/Helm), Kubernetes deployments, release/rollback and changecontrol aligned to RBC standards.
  • Implement context and data layers for agents: connectors (incl. MCP) to enterprise systems, streaming/eventing (Kafka), caching (Redis), vector search (pgvector/Milvus/Pinecone), and schema/PII controls to keep actions grounded and compliant.
  • Build reusable SDKs, APIs, and templates for agent capabilities (inference, tools, RAG) with clear interfaces, code samples, and internal packages to accelerate teams.
  • Establish runtime controls and observability: OpenTelemetry traces/metrics/logs, Grafana/Prometheus dashboards, feature flags, rate limits/quotas, circuit breakers, and SLOs for latency, quality, and cost.
  • Enforce DevSecOps and zerotrust patterns: OAuth2/OIDC, mTLS, secrets (Vault/KMS), SAST/DAST, threat modeling; ensure privacy, data residency, and compliant deployments (NIST, SOX/ITGC) across AWS/Azure/onprem GPU.
  • Partner across Security, Risk, and Platform; mentor engineers; influence reference architectures, standards, and documentation; drive design reviews for agentic services.

What do you need to succeed?

Must Have

  • Bachelors degree in Software Engineering, Computer Science or equivalent practical experience.
  • 5+ years building production fullstack systems: React/TypeScript; backend with Node.js/Express, Java/Spring Boot, or Python/FastAPI; strong API design (REST/gRPC/GraphQL) and eventdriven patterns.
  • Handson multiagent engineering: interagent communication, shared state, tool adapters, orchestration with LangGraph/CrewAI/AutoGen; RAG pipelines; vector DBs (pgvector/Milvus/Pinecone/FAISS); MCPbased secure connectors.
  • Cloudnative delivery on Kubernetes with CI/CD (Docker, GitHub Actions/Jenkins/Argo CD), automated testing (unit/integration/contract/E2E), and IaC (Terraform/Helm); experience with API gateways (Apigee/Kong) and service mesh (Istio/Linkerd).
  • Data and integration: SQL (Snowflake/Postgres), NoSQL (MongoDB), streams (Kafka), caching (Redis); integrating with enterprise systems (ServiceNow IRM/GRC) using resilient, secure patterns.
  • DevSecOps and observability: OAuth2/OIDC, mTLS, Vault/KMS, SAST/DAST; OpenTelemetry, Grafana/Prometheus; operating in regulated environments with NIST/SOX/ITGC controls.

Nice to Have

  • Advanced LLM operations: finetuning (LoRA/PEFT), alignment (RLHF/DPO), optimization (DeepSpeed), model serving (Triton/ONNX), and policy/guardrail engines. Distributed systems scaleout: Ray/SageMaker, backpressure and retry strategies, multiregion/DR, and dualcloud/hybrid operations.
  • Security and zerotrust depth: service mesh/mTLS, WAF, secrets rotation, key management, and advanced SAST/DAST/IAST.
  • Quantitative evaluation and product analytics: statistics for A/B tests and offline evals, human feedback loops, cost/latency optimization, and data governance best practices.

What's in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

  • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
  • Leaders who support your development through coaching and managing opportunities
  • Ability to make a difference and lasting impact
  • Work in a dynamic, collaborative, progressive, and high-performing team
  • Flexible work/life balance options
  • Opportunities to do challenging innovation work and potential for patentable solutions
  • Opportunities to take on progressively greater accountabilities

Job Skills

Agentic AI, Agentic AI, Agentic Context Engineering, AI Agent Security, API Design, Application Development, Application Integrations, Application Maintenance, Application Programming Interface (API), Applications Architecture, Artificial Intelligence (AI), AWS Cloud Computing, Collaboration, Containerization, Cybersecurity, Data Security, Design, Detail-Oriented, DevOps, DevSecOps, Docker (Software), Docker Container, Docker Kubernetes Architecture, End-to-End Testing, Enterprise Application Delivery {+ 18 more}

Additional Job Details

Address:

16 YORK ST:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

TECHNOLOGY AND OPERATIONS

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-07-10

Application Deadline:

2026-08-24

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

Employment Type: FULL_TIME