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Added 6 days ago
MR
Women in Tech Program - Global IT Co-op (Winter 2027 - Toronto, 4 months)
Munich Re
Toronto, ON
- Full-time
Supporting AI projects (Machine Learning and GenAI) by actively collaborating with project teams
Added 7 days ago
M
Associate Director, Analytics
Monks
Toronto, ON
- Full-time
Hands-on experience with programming and analytical tools such as SQL, Python, R, or similar
Added 8 days ago
MC
Data Scientist
Meridian Credit Union
Toronto, ON · Etobicoke, ON
- Full-time
Develop GenAI and LLM models. Get direction from and technical guidance from more senior members of the team
Added 8 days ago
C
Ingénieur(e) MLOps senior
CGI
Montreal, QC
- Full-time
Senior level Python development across the full data and ML stack.
Added 8 days ago
Software Engineer II
Planview Incorporated
Vancouver, BC
Work alongside data scientists to implement and iterate on insights, turning data science Python code and LLM-based logic into reliable production capabilities. Write evals while also…
Added 8 days ago
S
Forward Deployed Solution Engineer – Applied AI FDE
ServiceNow
Montreal, QC
- Full-time
…ambigus en systèmes d'IA fonctionnels. En tant qu'ingénieur GenAI/ML au sein de l'équipe FDE, vous serez amené à…
Added 8 days ago
Senior Software Engineer II
Schneider Electric
Calgary, AB
…including agentic automation platforms, product-integrated GenAI capabilities and internal AI applications. The remaining 25% will involve partnering with electric-utility customers to…
Added 8 days ago
E
Agentic AI Optimization Developer
Equifax
Toronto, ON · CAN - Ontario - Toronto
- Full-time
Advanced Debugging & Automation: Strong background in writing automated test scripts (Python-heavy) and using tracing/observability concepts to debug cascading errors in asynchronous,…
Added 8 days ago
ES
Python Full Stack Developer – GenAI Focus
Enterprise Solutions Inc.
Montreal, QC
- Contract
We are seeking an experienced Full Stack Developer with strong Python development skills, React experience, and exposure to Generative AI technologies. The ideal candidate will build…
Added 8 days ago
SE
Senior Software Engineer II
Schneider Electric
Calgary, AB
- $114,750 to $162,000 CAD / year
- Part-time
…including agentic automation platforms, product-integrated GenAI capabilities and internal AI applications. The remaining 25% will involve partnering with electric-utility customers to…
Added 8 days ago
AI Data Scientist
Conga
Canada
Develop and evaluate LLM and GenAI solutions using prompting, RAG, embeddings, vector search, fine-tuning, agents, and structured generation.
Added 9 days ago
AI
Jira Service Management Intake Automation Developer – AI & Integrations
Apptoza Inc.
Toronto, ON
- Contract
…essential for configuring and automating workflows. Strong Java and Python development skills are required for building applications and integrations. Experience with REST APIs and webhooks…
Added 9 days ago
AI
Quality Engineer (QE) SDET
Apptoza Inc.
Toronto, ON
- Contract
Experience testing AI| LLM| GenAI| chatbots| virtual assistants| or conversational platforms.
Added 9 days ago
C
Développeur/Développeuse GenAI / IA Générative | GenAI / Generative AI Developer
Cossette
Montreal, QC
- Full-time
Solides compétences en Python dans un contexte ML/AI, et bonne maîtrise de JavaScript / TypeScript pour l'intégration et le déploiement web.
Added 9 days ago
NT
Senior MLOps Engineer
Nöord Technologies
Montréal-Est, QC
- Full-time
API Development & Python Engineering: Design and develop REST and MCP APIs, alongside senior-level Python development across the full data and ML stack.
Added 9 days ago
A
Python AI Engineer (LOCAL to Quebec only)
Apptad
Montreal, QC
- Contract
Job Title: Python AI Engineer (LOCAL to Quebec only)
Added 9 days ago
S
GenAI Python Developer
Synechron
Montreal, QC
- $80,000 to $90,000 CAD / year
- Full-time
We are looking for a skilled GenAI Python Developer with strong experience in Generative AI, Retrieval-Augmented Generation (RAG), Python API development, and databases. The ideal candidate…
Added 9 days ago
SI
Senior Full Stack Developer- Agentic AI & GenAI Integration
Spruce InfoTech Inc.
Canada
- Contract
Senior Full Stack Developer – Agentic AI & GenAI Integration
Added 9 days ago
L
ModiFace - DevOps Developer
L'Oréal
Toronto, ON
- Full-time
…advancements in a wide variety of emerging topics such as multi-modal GenAI solutions, specialized AI agents for beauty conversation, clinical-level skin analysis algorithms, and advanced…
Added 9 days ago
QW
AI Quality Engineer (SDET)
Quantum World Technologies Inc.
Toronto, ON
- Contract
Experience testing AI| LLM| GenAI| chatbots| virtual assistants| or conversational platforms.
Added 9 days ago
AI
Quality Engineer (QE) SDET AI Chatbot
Apptoza Inc.
Brampton, ON
- Contract
…SDET Test Automation experience.Experience testing AI| LLM| GenAI| chatbots| virtual assistants| or conversational platforms.Knowledge of prompt engineering conceptsExperience with Jira|…
Added 9 days ago
AI
AI Chatbot Quality Engineer
Apptoza Inc.
Brampton, ON
- Contract
…SDET Test Automation experience. Experience testing AI| LLM| GenAI| chatbots| virtual assistants| or conversational platforms. Knowledge of prompt engineering concepts Experience with Jira|…
Added 9 days ago
MC
AI Platform Engineer (35577)
Myticas Consulting
Toronto, ON
- Contract
Build and operationalize AI, GenAI, and Agentic AI solutions.
Added 9 days ago
H
Application Developer
Hays
ON · Ontario, Canada
- $70 to $75 CAD / hour
- Contract
Develop, deploy, and support applications and APIs using C#, .NET Core, Python, and SQL.
Added 10 days ago
ET
Quality Assurance Automation Engineer
Envision Technology Solutions
Toronto, ON
- Contract
Key Skillsets 5 Yrs of strong QA SDET Test Automation experience. Experience testing AI| LLM| GenAI| chatbots| virtual assistants| or conversational platforms. Knowledge of prompt…

Synechron

GenAI Python Developer

Montreal, QC, Canada

$80,000 to $90,000 CAD / year · Full-time

Apply About employer

Applications open in a new tab.

Job details

Pay: $80,000 to $90,000 CAD / year
Job type: Full-time
Apply by: Nov 15, 2026
Experience: 3+ years of professional hands-on experience in Generative AI and Python development.
Posting language: English · French
Posted: Oct 16, 2026

Original job description

English section of this bilingual listing.

Our challenge:

We are looking for a skilled GenAI Python Developer with strong experience in Generative AI, Retrieval-Augmented Generation (RAG), Python API development, and databases. The ideal candidate will be responsible for designing, developing, and deploying intelligent AI-powered applications and scalable backend services.

The Role

Responsibilities:

Design and develop Generative AI applications using Python.
Build and implement RAG-based solutions using large language models, embeddings, vector databases, and knowledge repositories.
Develop scalable and secure RESTful APIs using Python frameworks such as FastAPI or Flask.
Integrate and work with large language models, including commercial and open-source LLMs.
Develop prompt engineering strategies and optimize model responses for accuracy, relevance, and reliability.
Implement document processing, chunking, embedding generation, semantic search, and context retrieval pipelines.
Work with relational and NoSQL databases such as PostgreSQL, MySQL, MongoDB, or similar technologies.

Requirements:

You are:

Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.
3+ years of professional hands-on experience in Generative AI and Python development.
Strong programming skills in Python.
Experience developing APIs using FastAPI, Flask, or Django REST Framework.
Strong understanding of Generative AI, Large Language Models, and prompt engineering.
Practical experience building Retrieval-Augmented Generation (RAG) applications.
Experience with embeddings, vector search, semantic search, and document retrieval.
Hands-on experience with databases such as PostgreSQL, MySQL, MongoDB, or similar.

Nice-to-have:

It would be great if you also had:

Experience with frameworks such as LangChain, LlamaIndex, Semantic Kernel, or similar.
Knowledge of cloud platforms such as AWS, Microsoft Azure, or Google Cloud.
Familiarity with Docker, Kubernetes, CI/CD, and cloud deployment.
Experience with LLM providers such as OpenAI, Azure OpenAI, Anthropic, Google Gemini, or open-source models.

We can offer you:

A multinational organization with 58 offices in 22 countries and the possibility to work abroad
15 days (3 weeks) of paid annual leave plus an additional 10 days of personal leave (floating days and sick days)
A comprehensive insurance plan including medical, dental, vision, life insurance, and long-term disability
Flexible hybrid policy to fit your schedule
RRSP with employer’s contribution up to 4%
A higher education certification policy
On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses
Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Centre of Excellences (CoE) groups
Cutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms
A truly diverse, fun-loving, and global work culture

SYNECHRON’S DIVERSITY & INCLUSION STATEMENT

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

Read the full bilingual original

Notre défi :

Nous recherchons un(e) développeur(euse) Python spécialisé(e) en IA générative, possédant une solide expérience en IA générative, en solutions de génération augmentée par la recherche (RAG), en développement d’API Python et en bases de données. La personne idéale sera responsable de la conception, du développement et du déploiement d’applications intelligentes propulsées par l’IA ainsi que de services backend évolutifs.

Le poste

Responsabilités :

Concevoir et développer des applications d’IA générative à l’aide de Python.
Élaborer et mettre en œuvre des solutions basées sur le RAG à l’aide de grands modèles de langage, de représentations vectorielles (embeddings), de bases de données vectorielles et de référentiels de connaissances.
Développer des API REST évolutives et sécurisées à l’aide de frameworks Python tels que FastAPI ou Flask.
Intégrer et utiliser de grands modèles de langage, commerciaux et open source.
Développer des stratégies d’ingénierie des prompts et optimiser les réponses des modèles afin d’en améliorer l’exactitude, la pertinence et la fiabilité.
Mettre en œuvre des pipelines de traitement de documents, de segmentation (chunking), de génération d’embeddings, de recherche sémantique et de récupération de contexte.
Travailler avec des bases de données relationnelles et NoSQL telles que PostgreSQL, MySQL, MongoDB ou des technologies similaires.

Exigences

Vous êtes :

Titulaire d’un baccalauréat en informatique, en technologies de l’information, en génie ou dans un domaine connexe.
Possédez au moins trois ans d’expérience professionnelle pratique en IA générative et en développement Python.
Possédez de solides compétences en programmation Python.
Avez de l’expérience dans le développement d’API avec FastAPI, Flask ou Django REST Framework.
Avez une solide compréhension de l’IA générative, des grands modèles de langage et de l’ingénierie des prompts.
Possédez une expérience pratique dans la création d’applications basées sur le RAG.
Possédez de l’expérience avec les embeddings, la recherche vectorielle, la recherche sémantique et la récupération de documents.
Possédez une expérience pratique avec des bases de données telles que PostgreSQL, MySQL, MongoDB ou des technologies similaires.

Atouts

Ce serait un atout si vous aviez également :

De l’expérience avec des frameworks tels que LangChain, LlamaIndex, Semantic Kernel ou des solutions similaires.
Des connaissances des plateformes infonuagiques telles qu’AWS, Microsoft Azure ou Google Cloud.
Une familiarité avec Docker, Kubernetes, les pipelines CI/CD et le déploiement infonuagique.
De l’expérience avec des fournisseurs de modèles de langage tels qu’OpenAI, Azure OpenAI, Anthropic, Google Gemini ou des modèles open source.

Ce que nous vous offrons :

Une organisation multinationale comptant 58 bureaux dans 22 pays, avec la possibilité de travailler à l’étranger.
15 jours (3 semaines) de congés annuels payés, ainsi que 10 jours supplémentaires de congés personnels (congés flottants et congés de maladie).
Un régime d’assurance complet comprenant une assurance médicale, dentaire et vision, une assurance vie ainsi qu’une assurance invalidité de longue durée.
Une politique de travail hybride flexible adaptée à votre horaire.
Un régime enregistré d’épargne-retraite (REER/RRSP) avec une contribution de l’employeur pouvant atteindre 4 %.
Une politique de soutien à la formation et aux certifications de niveau supérieur.
Un accès gratuit à Udemy Business à la demande pour tous les employés de Synechron, avec plus de 5 000 formations sélectionnées.
Des occasions de bénéficier du coaching de collègues expérimentés issus de nos groupes Financial Innovation Labs (FinLabs) et Centres d’excellence (CoE).
Des projets à la fine pointe de la technologie auprès des principales banques de premier ordre, institutions financières et compagnies d’assurance à l’échelle mondiale.
Une culture de travail véritablement diversifiée, conviviale et internationale.

DÉCLARATION DE SYNECHRON SUR LA DIVERSITÉ ET L’INCLUSION

La diversité et l’inclusion sont des éléments fondamentaux de notre culture. Synechron est fière d’être un employeur offrant l’égalité des chances et mettant en œuvre des mesures d’action positive.

Notre initiative en matière de diversité, d’équité et d’inclusion (DEI), « Same Difference », vise à favoriser une culture inclusive en promouvant l’égalité, la diversité et un environnement respectueux pour tous. Nous sommes fermement convaincus qu’une main-d’œuvre diversifiée contribue à bâtir des entreprises plus solides et prospères à l’échelle mondiale. Nous encourageons les candidatures de personnes issues de tous horizons, indépendamment de leur race, de leur origine ethnique, de leur religion, de leur âge, de leur état matrimonial, de leur genre, de leur orientation sexuelle ou de leur situation de handicap.

Nous donnons à notre personnel mondial les moyens de réussir grâce à des modalités de travail flexibles, à des programmes de mentorat, à des possibilités de mobilité interne, à des programmes d’apprentissage et de perfectionnement, et bien plus encore.

Toutes les décisions d’embauche chez Synechron sont fondées sur les besoins de l’entreprise, les exigences du poste et les qualifications individuelles, sans égard au genre, à l’identité de genre, à l’orientation sexuelle, à la race, à l’origine ethnique, au statut de personne handicapée ou d’ancien combattant, ni à toute autre caractéristique protégée par la loi.

Our challenge:

The Role

Responsibilities:

Design and develop Generative AI applications using Python.
Build and implement RAG-based solutions using large language models, embeddings, vector databases, and knowledge repositories.
Develop scalable and secure RESTful APIs using Python frameworks such as FastAPI or Flask.
Integrate and work with large language models, including commercial and open-source LLMs.
Develop prompt engineering strategies and optimize model responses for accuracy, relevance, and reliability.
Implement document processing, chunking, embedding generation, semantic search, and context retrieval pipelines.
Work with relational and NoSQL databases such as PostgreSQL, MySQL, MongoDB, or similar technologies.

Requirements:

You are:

Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.
3+ years of professional hands-on experience in Generative AI and Python development.
Strong programming skills in Python.
Experience developing APIs using FastAPI, Flask, or Django REST Framework.
Strong understanding of Generative AI, Large Language Models, and prompt engineering.
Practical experience building Retrieval-Augmented Generation (RAG) applications.
Experience with embeddings, vector search, semantic search, and document retrieval.
Hands-on experience with databases such as PostgreSQL, MySQL, MongoDB, or similar.

Nice-to-have:

It would be great if you also had:

Experience with frameworks such as LangChain, LlamaIndex, Semantic Kernel, or similar.
Knowledge of cloud platforms such as AWS, Microsoft Azure, or Google Cloud.
Familiarity with Docker, Kubernetes, CI/CD, and cloud deployment.
Experience with LLM providers such as OpenAI, Azure OpenAI, Anthropic, Google Gemini, or open-source models.

We can offer you:

A multinational organization with 58 offices in 22 countries and the possibility to work abroad
15 days (3 weeks) of paid annual leave plus an additional 10 days of personal leave (floating days and sick days)
A comprehensive insurance plan including medical, dental, vision, life insurance, and long-term disability
Flexible hybrid policy to fit your schedule
RRSP with employer’s contribution up to 4%
A higher education certification policy
On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses
Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Centre of Excellences (CoE) groups
Cutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms
A truly diverse, fun-loving, and global work culture

SYNECHRON’S DIVERSITY & INCLUSION STATEMENT

Apply About employer

More about this job

Responsibilities

Design, develop, and deploy Python-based generative AI applications and scalable backend services, including secure REST APIs. Build RAG and document-processing pipelines using LLMs, embeddings, vector databases, semantic search, and context retrieval, while optimizing prompts and model responses.

Requirements

Requires a bachelor’s degree in computer science, information technology, engineering, or a related field, plus at least three years of hands-on experience in generative AI and Python development. Candidates should have strong Python and API development skills, practical RAG experience, knowledge of LLMs and prompt engineering, and experience with embeddings, search, document retrieval, and relational or NoSQL databases.

Skills

Python
Generative AI
Retrieval-Augmented Generation (RAG)
Large Language Models
Prompt Engineering
FastAPI
Flask
Django REST Framework
REST API Development
Embeddings
Vector Search
Semantic Search
Document Retrieval
PostgreSQL
MySQL
MongoDB

Benefits

Paid Annual Leave
Personal Leave
Medical Insurance
Dental Insurance
Vision Insurance
Life Insurance
Long-Term Disability Insurance
Flexible Hybrid Work Policy
Higher Education And Certification Support
Udemy Business Access
Coaching And Mentoring Opportunities
International Work Opportunities
Learning And Development Programs
Internal Mobility Opportunities

Visa sponsorship

Not detected in the job text

Keywords

Python
Generative AI
Retrieval-Augmented Generation (RAG)
Large Language Models
Prompt Engineering
FastAPI
Flask
Django REST Framework
REST APIs
Embeddings
Vector Databases
Vector Search
Semantic Search
Document Processing
Document Chunking
Context Retrieval
PostgreSQL
MySQL
MongoDB
LangChain
LlamaIndex
Semantic Kernel
AWS
Microsoft Azure
Google Cloud
Docker
Kubernetes
CI/CD
OpenAI
Anthropic

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