10 meilleures offres (end python, columbus) (à pourvoir)

AI Engineer
Morningstar —Toronto, ON
- De 106 037 $ à 126 094 $ par an
- Temps plein
- Travail hybride
- Informatique
- Bases de données
- AWS
8 h
Senior Analyst, Business Intelligence
Xplore Inc —Markham, ON
- Temps plein
- Microsoft Excel
- Informatique
- Salesforce
Postuler rapidement
Solutions Architect
Scotiabank —Toronto, ON
- Informatique
- DevOps
- Ingénierie
- Bourses d'Études
il y a 14 jours
Core Network Manager
telMAX —Markham, ON
- Temps plein
- Informatique
- Ingénierie
- Baccalauréat
- Assurance Dentaire
- Assurance Vision
Postuler rapidement
il y a 12 jours
SENIOR FRAUD STRATEGY LEAD
Finlink Group —Scarborough, ON
- Temps plein
- Informatique
- Ingénierie
- Finance
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il y a 12 jours
Manager, Credit Decisioning Systems
Questrade Financial Group —Toronto, ON
- De 110 000 $ à 140 000 $ par an
- Temps plein
- Travail hybride
- Maîtrise
- SQL
- Baccalauréat
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Manager, Credit Decisioning Systems (Flexiti)
Questrade Financial Group —Toronto, ON
- De 110 000 $ à 140 000 $ par an
- Temps plein
- Travail hybride
- Maîtrise
- SQL
- Baccalauréat
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Solution Consultant - CCaaS, NICE CXone & Cognigy
Connex Telecommunications Inc. —Richmond Hill, ON
- Temps plein
- Azure
- Oracle
- Diplôme d'études secondaires
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Senior Financial Analyst, Policy Tax
THE EMPIRE LIFE INS. CO —North York, ON
- De 87 200 $ à 136 250 $ par an
- Temps plein
- Travail hybride
- Microsoft Excel
- Anglais
- Finance
- Assurance Dentaire
- Bourses d'Études
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Full Stack Developer - DevOps & Cloud Systems
BrightOrder Inc. —Canada
- De 95 000 $ à 115 000 $ par an
- Temps plein
- Télétravail
- Oracle
- DevOps
- Bases de données
- Assurance Dentaire
- Assurance Vision
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Je souhaite recevoir la dernière alerte emploi pour les postes de ce type : end python (columbus)

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AI Engineer

Morningstar
Toronto, ON

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Détails du poste

Temps plein
Il y a 8 heures

Compétences

Jira
Informatique
MCP
Bases de données relationnelles
Structure de données
Microsoft SQL Server
Bases de données
POO
AWS
Docker
Amélioration continue
PostgreSQL
GitHub
APIs
Agile
S3
Intelligence artificielle
RDS
Compétences en communication
Python
Débogage
Modèles de conception

Description complète du poste

About the Team

The AI Accelerator team sits at the center of Morningstar’s Generative AI strategy for the Direct Platform. We build and scale core systems such as the Morningstar MCP Server, MCP Gateway, and Morningstar Agent.

Our team is responsible not only for delivering GenAI capabilities, but also for solving the underlying challenges that make them production-ready—document vectorization, caching strategies, system scalability, security, and reliability. We work closely with the Morningstar Responsible AI Council to ensure our systems meet strict standards around guardrails, PII filtering, moderation, and anonymized evaluation pipelines.

We operate with a strong engineering culture: we question assumptions, prioritize impact over process, and focus on solving meaningful problems rather than executing predefined tasks. Collaboration, shared ownership, and continuous learning are central to how we work.

About the Role

As a Software Engineer on the AI Accelerator team, you will help design, build, and scale the core services powering Morningstar Directs’ GenAI capabilities. You will work across the full development lifecycle—from ideation and design to implementation, deployment, and iteration.

You’ll leverage modern AI-assisted development tools (e.g., GitHub Copilot, Claude Code) to accelerate delivery while maintaining high standards for code quality, testing, and documentation. You will collaborate closely with product managers, designers, and engineers to build systems that are both technically robust and highly valuable to users.

This role is ideal for someone who is naturally curious, enjoys exploring new technologies, and takes initiative in learning beyond immediate requirements.

Location: Toronto, Ontario (Hybrid policy, 4 days onsite required)

What You’ll Do

Design, build, and enhance scalable services powering the MCP Server, MCP Gateway, and AI Agent
Own features end-to-end, from concept through production deployment and monitoring
Collaborate with product and design partners to deeply understand user needs and deliver meaningful solutions
Contribute to architectural decisions and continuously improve system design and engineering practices
Write clean, maintainable, and well-tested code with a focus on performance and scalability
Use logging, monitoring, and debugging tools to maintain high system reliability
Evaluate new tools and technologies pragmatically, balancing innovation with real product value
Create and maintain clear technical documentation and user-facing guides
Mentor teammates and contribute to a culture of knowledge sharing and continuous improvement

What We’re Looking For

Strong collaboration and communication skills; direct, thoughtful, and transparent in discussions
3+ years of experience with at least one modern object-oriented programming language
Solid understanding of computer science fundamentals (data structures, algorithms, design patterns)
Experience building production grade applications using AI-assisted development tools (e.g., GitHub Copilot, Claude Code)
Experience building production-grade services using GenAI/agent frameworks (e.g., LangChain, AWS Bedrock, Copilot Studio)
Experience with containerization and deployment (e.g., Docker)
Experience building and operating production systems, including debugging and troubleshooting
Experience with relational databases such as PostgreSQL or MSSQL
Familiarity with cloud platforms (AWS preferred: EC2, RDS, S3, API Gateway)
Experience working in Agile environments and using tools like Jira

Nice to Have

Experience with Python and the PostgreSQL ecosystem
Experience with event-driven systems, queues, and ETL pipelines
Familiarity with vector databases and MCP-based architectures
Interest in financial markets, investing, or fund research

Base Salary Compensation Range
$ 106,037.00 - $ 126,094.00
Incentive Target Percentage

7.5%

If you receive and accept an offer from us, we require that personal and any related investments be disclosed confidentiality to our Compliance team (days vary by region). These investments will be reviewed to ensure they meet Code of Ethics requirements. If any conflicts of interest are identified, then you will be required to liquidate those holdings immediately. In addition, dependent on your department and location of work certain employee accounts must be held with an approved broker (for example all, U.S. employee accounts). If this applies and your account(s) are not with an approved broker, you will be required to move your holdings to an approved broker.

Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.

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end python emplois - columbus

AI Engineer

Senior Analyst, Business Intelligence

Solutions Architect

Core Network Manager

SENIOR FRAUD STRATEGY LEAD

Manager, Credit Decisioning Systems

Manager, Credit Decisioning Systems (Flexiti)

Solution Consultant - CCaaS, NICE CXone & Cognigy

Senior Financial Analyst, Policy Tax

Full Stack Developer - DevOps & Cloud Systems

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Je souhaite recevoir la dernière alerte emploi pour les postes de ce type : end python (columbus)

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