Job Title

Connection is everything. It drives us to innovate, explore, and stay close to what matters to us most. At Bell, were building a more connected future through worldclass networks, AIpowered solutions, and digital experiences that elevate how people live, work, and play every day. We believe in empowering people. Thats why we equip our teams with cuttingedge technology, AI tools, and a collaborative environment that supports creativity and growth. Want to be part of a diverse team where your work makes a real impact? If youre inspired by innovation that advances how people connect and transforms whats possible, you belong on #TeamBell. Summary Do you want to build AI that actually ships? Were looking for an engineer who thinks in systems, writes productiongrade code, and gets excited about transforming cuttingedge LLMs into reliable, scalable solutions. As an AI Engineer at Bell, youll design and build the next generation of AIpowered applications. This includes architecting agentic pipelines, wrapping models in robust APIs, and embedding Generative AI directly into products that support millions of customers and internal teams. Youll collaborate closely with senior engineers and product partners to move quickly, iterate thoughtfully, and deliver solutions that perform in the real world. Were seeking someone who genuinely enjoys the craft someone who tackles complex problems handson, enjoys exploring new tools and techniques, and finds satisfaction in solving challenges that dont always come with obvious answers. The AI landscape is evolving rapidly, and we value engineers who are curious, adaptable, and eager to grow alongside it. If youve been building with LLMs from prompt engineering and RAG pipelines to toolcalling agents and multistep orchestration and you have the backend expertise to bring these solutions into production, this role offers the opportunity to make a real impact. Key Responsibilities - Design and implement multistep AI agents using orchestration frameworks (e.g., LangChain, LlamaIndex, CrewAI, or custom builds) systems that reason, use tools, retrieve context, and take action. - Write clean, productionready Python to build APIs, microservices, and backend logic that powers AI features endtoend, from prompt to response. - Build and maintain RESTful (and eventdriven where appropriate) APIs that serve AI capabilities reliably across teams and applications. - Rapidly prototype interactive demos using Streamlit or lightweight frontend tooling, then follow through to scalable, maintainable implementations. - Integrate stateoftheart models for text, image, and video (e.g., Gemini, Nano Banana, Veo) into internal tools and customerfacing products. - Participate in system design discussions and contribute an engineering perspective on how to build things that scale. - Partner with end users, data engineers, and product owners to deeply understand user needs and the full user journey then translate those insights into technical solutions that actually solve the right problem. Critical Qualifications - Bachelor's degree in Computer Science, Software Engineering, or a related technical field or equivalent professional experience - 3+ years of professional software or AI engineering experience. You write productiongrade code, not just research scripts. - Strong Python skills, including experience building APIs with FastAPI or Flask. SQL proficiency is expected. - Handson LLM experience: You've worked directly with LLM APIs (OpenAI, Gemini, Anthropic, etc.) and understand the practical realities prompt design, context management, latency, cost, and failure modes. - Agentic or RAG systems experience: You've built at least one system involving tool use, retrievalaugmented generation, multistep reasoning, or autonomous agents not just singleshot completions. - Cloud platform experience: GCP preferred; AWS or Azure acceptable. - Engineering mindset: You approach problems with rigor, break them down systematically, and know how to balance speed with quality. Preferred Qualifications - Experience with AI orchestration frameworks such as Google ADK (Agent Development Kit), LangChain, LlamaIndex, LangGraph, CrewAI, or similar. - Familiarity with vector databases (e.g., Pinecone, Weaviate, pgvector) for semantic search and retrieval. - Understanding of CI/CD pipelines, Gitbased workflows, containerization (Docker), and model deployment practices. - Exposure to eventdriven architectures, async processing, or streaming responses (e.g., SSE, WebSockets). - Experience building Generative AI applications involving media image or video generation. - Bilingual in French and English (an asset). Adequate knowledge of French is required for positions in Quebec. Additional Information 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 worklife 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, youll enjoy a comprehensive compensation package that includes a competitive salary and a wide range of benefits to support the wellbeing 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 were 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. #J-18808-Ljbffr