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AI Engineer

  • Mississauga, ON, Canada

Full-time

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Job details

Job type
Full-time
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Experience
Experience Required: 8+ Years
Posting language
English
Posted

Original job description

Client: Altimetrik – AI Engineer

We are looking for a highly experienced AI Engineer with strong expertise in Python development, Artificial Intelligence (AI), Large Language Models (LLMs), and enterprise application development. The ideal candidate will have hands-on experience designing, building, and deploying production-grade AI/LLM applications using FastAPI or Flask, developing scalable REST APIs, and building AI-powered data analytics and self-service platforms. The successful candidate will also provide technical leadership, guide architecture decisions, optimize data pipelines, and collaborate with Risk stakeholders to deliver scalable AI-driven enterprise solutions.

Role Snapshot

  • Job Title: AI Engineer
  • Client: Altimetrik
  • Work Location: Mississauga, Ontario, Canada
  • Work Arrangement: Onsite
  • Employment Type: Full-Time
  • Experience Required: 8+ Years

Key Responsibilities

  • Design, build, and deploy Python-based AI/LLM applications using FastAPI or 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 experience with FastAPI or Flask.
  • Experience building production-grade AI/LLM applications.
  • Solid knowledge of SQL, data modelling, 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

  • Experience with Agentic AI, RAG, LangChain/LangGraph, or Talk-to-Data solutions.
  • Experience with Docker, Kubernetes, Kafka, and Redis.
  • Familiarity with OpenTelemetry, Grafana, and Prometheus.
  • Experience with CI/CD tools and practices, including Jenkins, GitHub Actions, DevOps, and GitOps.

Qualifications

  • Bachelor's or Master's degree in Computer Science or equivalent qualification.
  • 8+ years of software engineering experience.

How to Apply

If you find this opportunity aligns with your career goals and interests, we kindly request that you send your documents to hrsmss@smsoftconsulting.com by November 11, 2026, at your earliest convenience.

Mandatory Documents

  • Updated Resume in Word format (Mandatory)
  • Skills Matrix and References (Mandatory)
  • Expected Hourly Rate (Mandatory)

We cannot proceed with the submission without the mandatory documents.

Please check out this opportunity on our career site.

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More about this job

Responsibilities

Design, build, and deploy production-grade Python AI and LLM applications, scalable REST APIs, and AI-powered data analytics and self-service platforms. Optimize data pipelines, collaborate with Risk stakeholders, and provide technical leadership, architecture guidance, and mentorship.

Requirements

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

Skills

  • Python
  • FastAPI
  • Flask
  • Artificial Intelligence
  • Large Language Models
  • REST APIs
  • SQL
  • Data Modeling
  • Data Engineering
  • Asynchronous Programming
  • Performance Optimization
  • System Reliability
  • Architectural Design
  • Technical Leadership
  • Agentic AI
  • Retrieval-Augmented Generation

Visa sponsorship

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Categories

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

Keywords

  • Python
  • FastAPI
  • Flask
  • Artificial Intelligence
  • Large Language Models
  • REST APIs
  • Data Analytics
  • Self-Service Platforms
  • SQL
  • Data Modeling
  • Data Engineering
  • Asynchronous Programming
  • Concurrency
  • Performance Optimization
  • Agentic AI
  • Retrieval-Augmented Generation
  • LangChain
  • LangGraph
  • Talk-to-Data
  • Docker
  • Kubernetes
  • Kafka
  • Redis
  • OpenTelemetry
  • Grafana
  • Prometheus
  • CI/CD
  • Jenkins
  • GitHub Actions
  • DevOps

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