Req Id: 430480
At Bell, we do more than build world-class networks, develop innovative services and create original multiplatform media content – we advance how Canadians connect with each other and the world.
If you’re ready to bring game-changing ideas to life and join a community that values, professional growth and employee wellness, we want you on the Bell team.
The Bell Mobility team offers the best and latest mobile devices, wireless services and Internet of Things solutions to consumer and business customers, with the top speeds, coverage and reliability on Canada’s Best National Network. We love to innovate, embrace big challenges, and live for the newest technology
We are seeking a highly technical, hands-on Machine Learning Developer to build, scale, and optimize next-generation autonomous AI agents and enterprise solutions. In this role, you will be the primary technical driver for developing agentic solutions that serve our internal engineering, operations, and field teams.
While you will contribute to system design and architectural decisions, the majority of your time will be spent writing high-quality production code, tackling complex engineering challenges, and building robust AI features. You will also serve as a technical anchor for the team by actively mentoring junior developers, leading code reviews, and elevating the team’s engineering standards. The ideal candidate has deep expertise in software engineering, extensive knowledge of AI/ML concepts, and a proven ability to transform theoretical AI models into tangible, scalable software products.
- Build AI Agentic Systems: Implement and iterate on autonomous agent workflows and utility agents designed to automate complex enterprise tasks, ensuring high reliability and error handling.
- Hands-on AI Software Development: Write clean, scalable, and production-ready code to build robust AI/ML products, multi-agent workflows, and intelligent backend APIs.
- Mentorship & Technical Guidance: Serve as a technical mentor and role model for junior developers. Lead rigorous code reviews, conduct pair programming sessions, and share knowledge on AI best practices, design patterns, and debugging techniques.
- Cloud-Native Engineering & Deployment: Build and deploy applications on scalable cloud infrastructure. Manage the integration of ML models, vector databases, and traditional data stores within containerized environments.
- RAG & Search Implementation: Code and optimize advanced custom RAG pipelines. Tackle difficult engineering challenges related to data ingestion parsing, chunking strategies, vector search latency, and model hallucination mitigation.
- Cross-functional Collaboration: Partner closely with product owners, data scientists, software developers, and external stakeholder to seamlessly deploy AI agents into production environments while adhering to enterprise security and networking standards
- Programming Proficiency: Expert-level proficiency in Python, alongside experience with other modern programming languages (e.g., C#, Java). Building enterprise grade software solutions
- AI/ML Knowledge: Deep conceptual and practical understanding of generative AI, Large Language Models (LLMs), natural language processing (NLP), vector databases, and agentic orchestration frameworks.
- Cloud Infrastructure Expertise: Proven expertise in architecting and deploying applications on major cloud platforms (GCP preferred). Strong understanding of cloud-native architectures, containerization (Docker, Kubernetes), and CI/CD pipelines.
- Hands-On Development Experience: 5+ years of overall software engineering experience, with a significant portion dedicated to building and deploying AI/ML products or complex software applications
- Systems Design Mindset: Exceptional ability to design complex distributed systems, with a strong grasp of API design, microservices architecture, and enterprise security principles.
- Mentorship Skills: Demonstrated experience guiding and leveling-up junior engineers, leading technical deep-dives, and enforcing high standards for code quality and testing.
- Education: Bachelor’s or Master’s in Computer Science, Engineering, or a related field (or equivalent experience).
- Deep, practical experience with Google Cloud Platform (GCP) and its AI ecosystem (e.g., Vertex AI, Gemini models, Google Kubernetes Engine).
- Strong understanding of the software development lifecycle and best practices that ensure reliability, security, observability and performance are embedded into the agentic solution
- Experience implementing AI/ML lifecycle management (model monitoring, evaluation frameworks for LLMs, prompt versioning).
- Experience navigating complex enterprise IT environments, including network connectivity and security protocols.
- Familiarity with scrum, agile development frameworks.
- Strong understanding of emerging AI-centric development methodologies and frameworks (e.g. SDD, BMAD etc.)
#LI-SS1
Adequate knowledge of French is required for positions in Quebec.
Additional Information:
Position Type: Management
Job Status: Regular - Full Time
Job Location: Canada : Ontario : Mississauga || Canada : Ontario : Don Mills
Work Arrangement: Hybrid
Application Deadline: 07/02/2026
For work arrangements that are ‘Hybrid’, successful candidates must be based in Canada and report to a set Bell office for a minimum of 3 days a week. Recognizing the importance of work-life balance, Bell offers flexibility in work hours based on the business needs.
Please apply directly online to be considered for this role. Applications through email will not be accepted.
We know that caring for our team members is at the heart of a healthy, positive and thriving workplace. As part of our team, you’ll enjoy a comprehensive compensation package that includes a competitive salary and a wide range of benefits to support the well-being of you and your family. As soon as you join us, you'll be eligible for medical, dental, vision and mental health benefits that you can tailor to your specific needs. Plus, as a Bell team member, you'll enjoy a 35% discount on our services and access exclusive offers from our partners.
At Bell, we are proud of our focus on fostering an inclusive and accessible workplace where all team members feel valued, respected, supported, and that they belong.
Bell is committed to clarity in our hiring process. All roles posted are opportunities we’re actively recruiting for, unless stated otherwise. We also want to make sure that everyone has an equal opportunity to join our team. We encourage individuals who may require accommodations during the hiring process to let us know. For a confidential inquiry, email your recruiter or [email protected] to make arrangements. If you have questions or feedback regarding accessibility at Bell, we invite you to complete the Accessibility feedback form or visit our Accessibility page for other ways to contact us.
Artificial intelligence may be used to assess parts of your application. Please review our privacy policy (see Phenom for details) to learn more about how we collect, use, and disclose your personal information.
Created: Canada, ON, Mississauga
Bell, one of Canada's Top 100 Employers.
