Montréal, Qc Level python developer Jobs – 122 Openings This Week

AI Solutions Developer
Apptad Inc —Montréal, QC
- Contract
- Hybrid work
- Azure
- Computer Science
- Engineering
Quick apply
19h
Telecom & Radar Systems / IA & Apprentissage autonomes - AI & Machine Learning Specialist
Humanitas Solutions —Montréal, QC
- $55,000–$110,000 a year
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- DevOps
- Dental care
- Language training provided
Quick apply
Étudiant(e) d'automne, ingénierie logicielle, développeur(euse) / Fall Student, Software Engineering
Jubilant DraxImage Inc. —Montréal, QC
- Full-time
- Azure
- DevOps
- Engineering
12h
Cloud Analyst
Sun Life —Montréal, QC
- $54,000–$89,000 a year
- Full-time
- Azure
- Computer Science
- DevOps
20h
Application Developer - Snowflake
Capgemini Sogeti —Montréal, QC
- Azure
- Databases
- SQL
- Disability insurance
- Dental care
Gestionnaire, Développement de logiciels de simulation / Manager, Software Development - Simulation
Vention —Montréal, QC
- Hybrid work
- Computer science
- Computer Science
- Engineering
- Work from home
9d
Performance Engineer
Devoted Studios —Montréal, QC
- Full-time
- Remote
- C++
- Python
Quick apply
Principal Software Developer
Lightspeed Commerce, Inc. —Montréal, QC
- Full-time
- Hybrid work
- English
- Java
- Software development
- Paid time off
Quick apply
AI Deployment Strategist
Mistral AI —Montréal, QC
- Full-time
- Computer Science
- Sales
- JavaScript
8d
Staff Machine Learning Engineer
Scientific Games —Montréal, QC
- Full-time
- Azure
- Computer Science
- Engineering
13d
Application Developer - Snowflake
Capgemini —Montréal, QC
- Azure
- Databases
- SQL
- Disability insurance
- Dental care
Senior Software Developer - IAM
Intact —Montréal, QC
- Full-time
- Hybrid work
- Bilingual
- Azure
- Computer Science
- Employee stock purchase plan
Enterprise Architect
CGI —Montréal, QC
- $115,000–$165,000 a year
- Full-time
- Azure
- Oracle
- Computer Science
Quick apply
Senior Machine Learning Engineer
Scientific Games —Montréal, QC
- Full-time
- Computer Science
- Engineering
- Master's degree
13d
Intermediate DevOps Specialist
MDA —Longueuil, QC
- Full-time
- Computer Science
- DevOps
- AWS
- Disability insurance
- Dental care
9d
Tech Lead - Commodities Technology (Hybrid)
Morgan Stanley —Montréal, QC
- Full-time
- Hybrid work
- Bilingual
- DevOps
- English
Sr Principal Developer
Aspen Technology —Montréal, QC
- Full-time
- Azure
- Computer Science
- Schematics
Engine/Gameplay Architect - UGC / Architecte moteur / gameplay – UGC
NBCUniversal —Montréal, QC
- Overtime
- Hybrid work
- System design
- C++
- Travel
Site Reliability Specialist
Ubisoft —Montréal, QC
- Full-time
- Azure
- DevOps
- AWS
Quick apply
Verification and Validation Engineer - Test & Automation
Octasic Inc. —Montréal, QC
- Full-time
- Computer science
- Azure
- DevOps
- Commuter benefits
Quick apply

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AI Solutions Developer

Apptad Inc -
Montréal, QC

Quick apply

Job details

Contract
19 hours ago

Qualifications

Spring Boot
Azure
Gradle
Law
Computer Science
Relational databases
Engineering
Git
Google Cloud Platform
Java
SQL
AWS
Docker
Bachelor's
REST
Software development
GitHub
APIs
JSON
Flask
Maven
AI
Jenkins
Communication skills
Python
Spring framework

Full job description

AI Solutions Developer - (GenAI / OpenAI)
Financial Crimes Technology (FCT)Location: Montreal, QC

Role Overview:

We are looking for a hands-on AI Solutions Developer (backend) to help us build AI-enabled capabilities on top of large language models (LLMs) - starting with automated generation of client / customer summaries (e.g., relationship summaries, risk summaries, KYC/CDD profile narratives, and alert/case briefings) from the structured data we already hold. You will integrate OpenAI (and similar) APIs into our backend services, assemble the data and context these models need, design effective prompts, and ship reliable, well-governed features that summarize complex client information into clear, accurate, audit-ready text.This is a backend / integration role suited to a developer who is comfortable pulling data from multiple sources, calling LLM APIs, shaping the output, and exposing it through services - and who cares about accuracy, safety, and cost in a regulated financial-services environment. We are open to either Java or Python as the primary language.

Key Responsibilities:

Build AI-enabled features that generate client summaries from structured and unstructured data using OpenAI APIs and similar LLM providers.
Integrate LLM calls into application services - prompt construction, model selection, structured outputs (JSON), streaming responses, token-budget and cost management, retries, and error handling.
Assemble context for the model - retrieve and shape data from databases and internal APIs into the structured input the model needs to produce each summary type.
Design and iterate on prompts and templates for different summary "types," and build lightweight evaluation to check accuracy, completeness, and faithfulness (no hallucinated facts).
Expose capabilities through clean backend APIs so other teams can consume them.
Apply responsible-AI guardrails - PII handling/redaction, prompt-injection defenses, output validation, and audit logging suitable for a regulated environment.
Collaborate with engineering, business analysts, and compliance stakeholders to define what a "good" summary looks like and to validate outputs.
Use AI coding assistants (e.g., GitHub Copilot, ChatGPT) to accelerate your own development.

Required Qualifications (Must Have):

3-5 years of professional software development experience as a hands-on developer (junior to mid-level).
Strong proficiency in at least one backend language - Java (with Spring Boot) and/or Python (FastAPI / Flask). We are open to either.
Hands-on experience calling LLM APIs - particularly the OpenAI API (chat completions, function/tool calling, structured/JSON outputs, embeddings) - or a strong willingness and demonstrated aptitude to ramp up quickly.
Practical prompt-engineering skills - writing, testing, and iterating on prompts to get reliable, well-structured output.
Experience integrating with data sources - relational databases (SQL) and REST APIs.
Solid understanding of RESTful API design and JSON.
Good engineering fundamentals - version control (Git), testing, and writing maintainable code.
Awareness of data privacy / PII concerns and a careful, quality-focused mindset.
Strong problem-solving and communication skills; able to work with non-technical stakeholders to shape requirements.
Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience).

Familiarity / Nice to Have (any subset is a plus):

LLM / orchestration libraries - Spring AI, LangChain / LangChain4j, LlamaIndex, Semantic Kernel, or equivalent.
Other LLM providers - Anthropic Claude, Google Gemini, or open-source models (Llama, Mistral).
Streaming responses (SSE / WebSockets) and async patterns for LLM output.
Evaluation tooling for LLM outputs - measuring faithfulness, hallucination, and task success; familiarity with Langfuse / LangSmith or similar observability for AI.
Cloud experience (Azure / AWS / GCP) and containerization (Docker).
CI/CD (Jenkins or similar) and build tooling (Gradle / Maven for Java, or pip/poetry for Python).
Responsible-AI / model-governance practices in a regulated context.
Exposure to financial-services, AML/KYC, compliance, or risk domains.

Work Location: Hybrid remote in Montréal, QC (Montréal)

Quick apply

Refine Your Search

level python developer jobs in montréal, qc

AI Solutions Developer

Telecom & Radar Systems / IA & Apprentissage autonomes - AI & Machine Learning Specialist

Étudiant(e) d'automne, ingénierie logicielle, développeur(euse) / Fall Student, Software Engineering

Cloud Analyst

Application Developer - Snowflake

Gestionnaire, Développement de logiciels de simulation / Manager, Software Development - Simulation

Performance Engineer

Principal Software Developer

AI Deployment Strategist

Staff Machine Learning Engineer

Application Developer - Snowflake

Senior Software Developer - IAM

Enterprise Architect

Senior Machine Learning Engineer

Intermediate DevOps Specialist

Tech Lead - Commodities Technology (Hybrid)

Sr Principal Developer

Engine/Gameplay Architect - UGC / Architecte moteur / gameplay – UGC

Site Reliability Specialist

Verification and Validation Engineer - Test & Automation

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