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Artificial Intelligence Engineer

  • Mississauga, ON
  • On-site
  • Posted Oct 27, 2026
  • 1 position

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Employment type
Full-time
Experience level
Senior · 8+ years
Minimum education
Bachelor’s degree
Posting language
English
Working hours
40 hours per week
Seniority
Mid-Senior level
Application method
Apply on LinkedIn (LinkedIn sign-in required)

Job summary

Design, build, and deploy Python-based AI/LLM applications, REST APIs, and scalable data analytics platforms, while optimizing data pipelines. Collaborate with Risk stakeholders and provide architecture guidance, technical leadership, and mentorship to engineering teams.

Job details

Experience: 8+ Years Location: Mississauga, ON Key Responsibilities • Design, build, and deploy Python-based AI/LLM applications using FastAPI/Flask. • Develop REST APIs and scalable enterprise solutions. • Build AI-powered data analytics and self-service platforms. • Optimize data pipelines for performance and scalability. • Collaborate with Risk stakeholders to deliver AI-driven solutions. • Provide technical leadership, architecture guidance, and mentor engineering teams. Required Skills • Strong Python development with FastAPI or Flask. • Experience building production-grade AI/LLM applications. • Solid SQL, data modeling, and data engineering fundamentals. • Expertise in concurrency, asynchronous programming, and performance optimization. • Experience with testing, production support, and system reliability. • Strong architectural design and technical leadership skills. Preferred Skills • Agentic AI, RAG, LangChain/LangGraph, or Talk-to-Data solutions. • Docker, Kubernetes, Kafka, Redis. • OpenTelemetry, Grafana, Prometheus. • CI/CD (Jenkins, GitHub Actions), DevOps/GitOps. Qualifications • Bachelor's/Master's in Computer Science or equivalent.

What you’ll do

Design, build, and deploy Python-based AI/LLM applications, REST APIs, and scalable data analytics platforms, while optimizing data pipelines. Collaborate with Risk stakeholders and provide architecture guidance, technical leadership, and mentorship to engineering teams.

Requirements

Requires 8+ years of experience, strong Python development with FastAPI or Flask, production-grade AI/LLM application experience, and solid SQL, data modeling, and data engineering fundamentals. Candidates should also have expertise in asynchronous programming, concurrency, performance optimization, testing, production support, system reliability, and architectural leadership; a bachelor's or master's degree in Computer Science or equivalent is listed.

Listed skills

  • SQL · Preferred
  • REST APIs · Preferred
  • Docker · Preferred
  • Python · Preferred
  • Flask · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

  • Python
  • FastAPI
  • Flask
  • AI/LLM Applications
  • REST APIs
  • SQL
  • Data Modeling
  • Data Engineering
  • Asynchronous Programming
  • Concurrency
  • Performance Optimization
  • System Reliability
  • Technical Leadership
  • RAG
  • LangChain
  • Docker

Job areas

  • Technology
  • Software
  • Data & Analytics
  • Management & Leadership

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