Apply now

Posted yesterday

Backend Engineer

@ Hays

Toronto, Ontario

$90–$100/hrContract
Apply now
SIGNALS

Pay:

$90–$100 an hour

Responsibilities:

  • Design and develop scalable backend services and APIs using Python and FastAPI
  • Build production-grade AI applications leveraging Large Language Models (LLMs)
  • Design and implement Agentic AI workflows and autonomous agent systems
  • Develop and maintain Retrieval-Augmented Generation (RAG) solutions
  • Integrate external and internal services through REST APIs
  • Implement LLM tool calling, structured outputs, and workflow orchestration

Requirements summary:

  • Pay Rate: CAD $90-100/hour (depending on experience and alignment)
  • Required Qualifications
  • 10+ years of software engineering experience
  • Strong Python development experience building production-grade applications
  • Hands-on experience developing backend services using FastAPI
  • Experience building and deploying scalable REST APIs
Source and dates

Employer career site / ATS feed · careerpage

Employer posting date
2026-11-07
First seen by our source
2026-11-09
Source record updated
2026-11-09

These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.

FieldValue
Open jobs on Jobsy242
Job description

Senior AI Backend Engineer (Python/FastAPI, Agentic AI & LLM Applications)

Job Type: Contract
Contract Duration: 6 Months
Pay Rate: CAD $90-100/hour (depending on experience and alignment)
Location: Hybrid, 1 day onsite weekly, Downtown Toronto, ON

Your New Company

Our client is investing in next-generation AI-powered applications and is expanding its engineering team with experienced contractors who can help design, build, and scale production-grade AI solutions. This is an opportunity to work on innovative Agentic AI initiatives involving Large Language Models (LLMs), cloud-native architectures, API integrations, and modern AI orchestration frameworks.

Your New Role

As a Senior AI Backend Engineer, you will be responsible for designing, developing, and deploying production-grade AI applications and backend services. You will build scalable Agentic AI workflows, integrate Large Language Models, and contribute to cloud-native solutions that support enterprise-scale applications.

Working closely with engineering leadership and technical teams, you will help architect intelligent systems leveraging modern AI frameworks, retrieval systems, cloud services, and observability tooling.

Key Responsibilities

  • Design and develop scalable backend services and APIs using Python and FastAPI
  • Build production-grade AI applications leveraging Large Language Models (LLMs)
  • Design and implement Agentic AI workflows and autonomous agent systems
  • Develop and maintain Retrieval-Augmented Generation (RAG) solutions
  • Integrate external and internal services through REST APIs
  • Implement LLM tool calling, structured outputs, and workflow orchestration
  • Build and optimize cloud-native applications utilizing GCP, AWS, or Azure
  • Develop integrations with BigQuery, databases, vector stores, and enterprise systems
  • Containerize and deploy applications using Docker and modern CI/CD pipelines
  • Implement authentication and authorization workflows for secure services
  • Collaborate with architects, product teams, and developers on technical design and solution architecture
  • Maintain performance, scalability, observability, and reliability of production systems
  • Participate in code reviews, architecture discussions, and technical leadership activities

What You'll Need to Succeed

Required Qualifications

  • 10+ years of software engineering experience
  • Strong Python development experience building production-grade applications
  • Hands-on experience developing backend services using FastAPI
  • Experience building and deploying scalable REST APIs
  • Experience building AI-powered applications utilizing LLMs
  • Experience developing Agentic AI workflows and autonomous AI systems
  • Hands-on experience with LangGraph and LangChain
  • Experience implementing Retrieval-Augmented Generation (RAG) architectures
  • Experience integrating AI services through REST APIs
  • Experience with LLM tool calling and structured outputs
  • Strong experience designing cloud-native applications
  • Experience with Google Cloud Platform (GCP), AWS, or Azure
  • Experience integrating applications with databases and data platforms including BigQuery
  • Familiarity with Redis caching strategies
  • Experience with authentication and authorization workflows (OAuth, JWT, SSO, etc.)
  • Experience with Docker and CI/CD pipelines
  • Strong understanding of software design principles, scalability, performance optimization, and secure coding practices

Preferred Qualifications

  • Experience with Langfuse or similar AI observability platforms
  • Experience with vector databases and semantic search architectures
  • Experience developing multi-agent systems
  • Experience deploying applications on GCP using services such as BigQuery, Cloud Run, GKE, Dataflow, or Cloud Storage
  • Understanding of machine learning and data science fundamentals
  • Experience supporting enterprise-scale AI applications in production environments

What You'll Get in Return

You will join a highly skilled engineering team working on innovative AI initiatives and modern cloud-native solutions. This engagement offers the opportunity to work with cutting-edge technologies including Large Language Models, Agentic AI architectures, LangGraph, LangChain, and GCP while contributing directly to the development of enterprise-scale intelligent systems.

Compensation is competitive and commensurate with experience, with flexibility for exceptional candidates who demonstrate strong alignment with the technical requirements.

What You Need to Do Now

If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or contact us directly for a confidential discussion regarding this opportunity.

If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion on your career.

This posting is for an existing vacancy with the organization.

AI may be used to screen, assess, or select applicants for the position.


This posting is for an existing vacancy with the organization.

AI may be used to screen, assess or select applicants for the position.


#LI-DNI
#1127484 - Champa Bhojwani

Similar jobs

  • Senior Backend Engineer (TypeScript)

    Toronto, ON
    HybridFull Time

    Fig

    6+ YOECandidates need 6+ years of software engineering experience, deep TypeScript and Node.js backend skills, and experience with PostgreSQL-backed APIs and cloud production systems. Experience with vendor integrations and daily use of AI coding tools are also required.

    TypeScript, Node.js, NestJS, PostgreSQL, AWS

  • Senior Backend Engineer (CFG)

    Toronto, ON
    RemoteFull Time

    CommIT: Commit is a global tech services company with offices in Israel, US, Canada, UK, and Europe.

    5+ YOECandidates need 5+ years of backend development with a customer-centric focus, deep knowledge of microservices and API design, and strong Node.js or TypeScript skills. They also need experience with SQL and NoSQL databases, cloud platforms, and Agile and CI/CD practices.

    Node.js, TypeScript, AWS, Azure, GCP

  • Senior Backend Engineer (Integrations & Platform)

    Toronto, ON
    RemoteFull Time

    FutureFit AI

    5+ YOECandidates need 5 to 8+ years of senior backend or integration experience, strong TypeScript and Node.js skills, and proven enterprise or government data integration work. They also need production database experience, strong debugging skills and comfort working fully remotely.

    AWS Lambda, EventBridge, SQS, MongoDB, PostgreSQL, Redshift

  • Sr. Backend Engineer - Test Automation

    Toronto, ON
    Full Time

    eBay

    6+ YOECandidates need 6+ years of professional software engineering experience, including production backend work in Java or a comparable language. Strong REST API design, unit and integration testing, and hands-on Cypress UI automation experience are required.

    Java, Spring Boot, REST Assured, JUnit, Cypress, GCP

  • Sr. Backend Engineer - Test Automation

    Toronto, ON
    HybridFull Time

    eBay Canada Technology

    6+ YOECandidates need 6+ years of professional software engineering experience, with production backend work in Java or a comparable language. They also need hands-on experience with REST APIs, unit and integration testing, REST Assured and Cypress.

    Java, Spring Boot, REST Assured, Cypress, JUnit, GCP

  • Backend Engineer - AI Coding Agent

    Toronto, ON
    $85/hr

    Mercor

    2+ YOECandidates need 2+ years of professional backend engineering experience, including APIs, distributed systems, microservices, backend platforms or databases. They must regularly use AI coding agents and be able to judge generated code for bugs and tradeoffs.

    Cursor, Claude Code, Codex, Windsurf, Gemini CLI

    Backend Engineer - Fully Remote | Upto $65/hr

    Toronto, ON
    $55–$65/hr

    Mercor

    Candidates need PyCharm installed on a Mac running macOS, experience with Python development tools, and the ability to capture screenshots above 2.5 megapixels.

    PyCharm, macOS

  • Senior Backend Engineer (.NET, Full-Stack)

    Kitchener, ON
    $130k–$140k/yrOn-siteFull Time

    NERv Technology Inc. D.B.A. FluidAI Medical

    7+ YOECandidates need 7+ years of professional software engineering experience, expert skill in C# and .NET, and experience with distributed systems and cloud platforms. Full-stack work in TypeScript, React and Next.js is required, and healthcare or regulated-environment experience is highly preferred.

    Azure, Docker, Kubernetes, SignalR, React Native

Locations & environments

Locations

All of CanadaRemote · Hybrid · On-site · Field

Pro tip: add remote jobs to widen your search.

Exclude locations

Workplace type

Company jobs in these results

These are this company’s jobs loaded in your current search. The company may have more openings.