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AI Engineer

  • Mississauga, ON, Canada

Full-time

This opening has closed.

The original listing is kept below for reference.

Job details

Job type
Full-time
Closing date
Posting language
English
Posted

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Original job description

Archived listing. The details below describe a past opening.

Client: Citi - AI Engineer

We are seeking a position of AI Engineer role for Citi based in Mississauga, ON, Canada. The role focuses on designing, building, and deploying Python-based AI/LLM applications and scalable enterprise solutions, with responsibilities spanning AI-powered analytics, data pipelines, API development, performance optimization, and technical leadership.

Role Snapshot

  • Job Title: AI Engineer
  • Client: Citi
  • Office Location: Mississauga, ON, Canada
  • Position Type: Full-time
  • Work Arrangement: Onsite
  • Experience: 8+ years
  • Application Deadline: 06 Oct 2026

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, and Redis.
  • OpenTelemetry, Grafana, and Prometheus.
  • CI/CD using Jenkins or GitHub Actions, DevOps/GitOps.

Required Qualifications

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

How To Apply

If you are interested in this exciting opportunity, please submit the following documents to hrsmss@smsoftconsulting.com by 06 Oct 2026 at your earliest convenience:

  • Updated Resume in Word format (Mandatory)
  • References (Mandatory)

Note: Applications without the mandatory documents cannot be processed.

If you are not interested, please feel free to send over any names or forward this message to anyone who may be interested.

Thank you for considering this exciting opportunity with us.

Email is the best way to reach us.

You have received this message either as a result of contacting our company to express interest in employment or as a result of posting your resume in a location that can be accessed by recruiters or HR specialists, which suggests an interest in being contacted about employment opportunities.
More about this job

Responsibilities

Design, build, and deploy Python-based AI/LLM applications, REST APIs, scalable enterprise solutions, and AI-powered analytics platforms. Optimize data pipelines and application performance, collaborate with Risk stakeholders, and provide architecture guidance and technical leadership to engineering teams.

Requirements

Requires a bachelor's or master's degree in Computer Science or an equivalent qualification, along with at least eight years of software engineering experience. Candidates should have strong Python and production AI/LLM application experience, solid SQL and data engineering fundamentals, and expertise in asynchronous programming, performance optimization, testing, and system reliability.

Skills

  • Python
  • FastAPI
  • Flask
  • REST API Development
  • SQL
  • Data Modeling
  • Data Engineering
  • Asynchronous Programming
  • Concurrency
  • Performance Optimization
  • System Reliability
  • Technical Leadership
  • Agentic AI
  • Retrieval-Augmented Generation (RAG)
  • Docker

Visa sponsorship

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Categories

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

Keywords

  • Python
  • FastAPI
  • Flask
  • AI
  • Large Language Models (LLMs)
  • REST APIs
  • Enterprise Solutions
  • AI-Powered Analytics
  • Self-Service Platforms
  • Data Pipelines
  • SQL
  • Data Modeling
  • Data Engineering
  • Concurrency
  • Asynchronous Programming
  • Performance Optimization
  • Production Support
  • System Reliability
  • Agentic AI
  • Retrieval-Augmented Generation (RAG)
  • LangChain
  • LangGraph
  • Talk-to-Data
  • Docker
  • Kubernetes
  • Kafka
  • Redis
  • OpenTelemetry
  • Grafana
  • Prometheus

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