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S M Software Solutions Inc

AI Engineer

Mississauga, ON, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Nov 1, 2026
Posting language: English
Posted: Oct 2, 2026

Original job description

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.

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More about this job

Responsibilities

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

Requirements

Requires a bachelor's or master's degree in Computer Science or an equivalent qualification, along with 8+ years of software engineering experience. Candidates should have strong Python and production AI/LLM experience, solid SQL and data engineering fundamentals, and expertise in asynchronous programming, performance optimization, testing, reliability, and technical leadership.

Skills

Python
FastAPI
Flask
REST API Development
SQL
Data Modeling
Data Engineering
Asynchronous Programming
Concurrency
Performance Optimization
Testing
System Reliability
Technical Leadership
RAG
Docker

Visa sponsorship

Not detected in the job text

Keywords

Python
FastAPI
Flask
AI
Large Language Models
REST APIs
SQL
Data Modeling
Data Engineering
Data Pipelines
Agentic AI
RAG
LangChain
LangGraph
Talk-to-Data
Docker
Kubernetes
Kafka
Redis
OpenTelemetry
Grafana
Prometheus
CI/CD
Jenkins
GitHub Actions
DevOps
GitOps
Concurrency
Asynchronous Programming
System Reliability

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