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We are seeking an experienced AI Engineer with Python with 8+ years of software engineering experience and strong expertise in Python, FastAPI/Flask, AI/LLM applications, REST APIs, data…
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S M Software Solutions Inc

AI Engineer with Python - (Hybrid)

Mississauga, ON, Canada

Job type: Full-time
Apply by: Sep 22, 2026
Experience: Experience: 8+ Years
Posting language: English
Posted: Sep 20, 2026

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Original job description

Client: Citi Bank – AI Engineer with Python

We are seeking an experienced AI Engineer with Python with 8+ years of software engineering experience and strong expertise in Python, FastAPI/Flask, AI/LLM applications, REST APIs, data analytics, data engineering, SQL, concurrency, asynchronous programming, performance optimization, and enterprise architecture. The successful candidate will design, build, and deploy production-grade AI/LLM applications and scalable enterprise solutions while providing technical leadership and architectural guidance.

Role Snapshot

Client: Citi Bank

Office Location: Mississauga, ON, Canada

Work Model: Hybrid

Employment Type: Full-time

Experience: 8+ Years

Application Deadline: September 22, 2026

Key Requirements

Required Skills

Strong Python development with Fast API or Flask.
Experience building production-grade AI/LLM applications.
Solid 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

Agentic AI, RAG, Lang Chain/Lang Graph, or Talk-to-Data solutions.
Docker, Kubernetes, Kafka, Redis.
Open Telemetry, Grafana, Prometheus.
CI/CD (Jenkins, GitHub Actions), DevOps/Git Ops.

Technical Skills

Python & AI/LLM Development

Strong Python development experience.
Hands-on experience with Fast API or Flask.
Experience designing, building, and deploying Python-based AI/LLM applications.
Experience building production-grade AI/LLM applications.
Experience with Agentic AI, RAG, Lang Chain/Lang Graph, or Talk-to-Data solutions is preferred.

API & Enterprise Application Development

Experience developing REST APIs.
Experience building scalable enterprise solutions.
Experience with Fast API/Flask-based application development.
Ability to design and deliver reliable enterprise-grade applications.

Data Engineering & Analytics

Solid SQL fundamentals.
Strong understanding of data modelling.
Strong data engineering fundamentals.
Experience building AI-powered data analytics and self-service platforms.
Experience optimizing data pipelines for performance and scalability.

Performance & System Reliability

Expertise in concurrency.
Expertise in asynchronous programming.
Experience with performance optimization.
Experience with testing.
Experience with production support.
Experience with system reliability.

Cloud, Containers & Infrastructure

Experience with Docker.
Experience with Kubernetes.
Experience with Kafka.
Experience with Redis.
Experience with Open Telemetry.
Experience with Grafana.
Experience with Prometheus.

CI/CD & DevOps

Experience with CI/CD.
Experience with Jenkins.
Experience with GitHub Actions.
Experience with DevOps/Git Ops.

Professional Skills

Strong architectural design capabilities.
Strong technical leadership skills.
Ability to provide architecture guidance.
Ability to mentor engineering teams.
Ability to collaborate effectively with Risk stakeholders.
Ability to deliver AI-driven solutions in an enterprise environment.
Strong problem-solving and technical decision-making capabilities.

Key Responsibilities

Design, build, and deploy Python-based AI/LLM applications using Fast API/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.

Qualifications

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

Work Arrangement

Hybrid – Mississauga, Ontario, Canada

This is a full-time Hybrid AI Engineer with Python position with Citi Bank, based in Mississauga, Ontario, Canada.

The role focuses on Python-based AI/LLM application development, REST APIs, scalable enterprise solutions, AI-powered analytics, data engineering, system performance, architecture, and technical leadership.

How to Apply

If you find this opportunity aligns with your career goals and interests, please send your documents to [email protected] by September 22, 2026 at your earliest convenience.

We cannot proceed with the submission without the mandatory documents.

Updated Resume in Word format – Mandatory
Skills Matrix and References – Mandatory
Expected Hourly Rate – Mandatory

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

Please check it out on our career site for more opportunities.

Apply About employer

More about this job

Responsibilities

Design, build, and deploy production-grade Python-based AI/LLM applications and scalable enterprise solutions. Collaborate with Risk stakeholders to deliver AI-driven analytics platforms while providing technical leadership and architectural guidance.

Requirements

Requires 8+ years of software engineering experience with strong expertise in Python, FastAPI/Flask, and AI/LLM development. Candidates must possess solid data engineering fundamentals, architectural design skills, and the ability to mentor engineering teams.

Skills

Python
FastAPI
Flask
AI/LLM Applications
REST APIs
Data Analytics
Data Engineering
SQL
Concurrency
Asynchronous Programming
Performance Optimization
Enterprise Architecture
Agentic AI
RAG
LangChain
Kubernetes

Visa sponsorship

Not detected in the job text

Keywords

Python
FastAPI
Flask
AI
LLM
REST APIs
Data Analytics
Data Engineering
SQL
Concurrency
Asynchronous Programming
Enterprise Architecture
Agentic AI
RAG
LangChain
LangGraph
Docker
Kubernetes
Kafka
Redis
Open Telemetry
Grafana
Prometheus
CI/CD
Jenkins
GitHub Actions
DevOps
GitOps
Technical Leadership
System Reliability

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