AI Software Developer
- Montreal, QC, Canada
Full-time
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Job details
- Job type
- Full-time
- Apply by
- Experience
- 3+ years of relevant professional experience in software engineering, machine learning engineering, AI, or a related technical role
- Posting language
- English
- Posted
Original job description
Location Montreal
At Stingray, creativity, collaboration, and cutting-edge technology are the pillars of our DNA. Are you ready to watch your career take off by joining a fast-growing company with a team of tech-savvy music lovers and a stimulating and fun work environment?
Join a dynamic team that serves all of Stingray’s departments. Your role will be twofold: designing ingenious solutions to meet their needs and guiding them to fully adopt those solutions. You will be a key partner for our employees, helping them work more effectively with modern tools and hands-on support. If this speaks to you, we need you!
We are currently looking for an AI Software Developer to join our AI team. This position reports to the AI Adoption Leader.
Your day-to-day
- Design, build, and deploy AI applications and agentic systems that solve real business problems
- Contribute to the development of our agent platform and its core capabilities, including orchestration, tool use, retrieval, and evaluation
- Design reliable and maintainable AI systems by applying strong software engineering and architecture principles
- Collaborate with product and engineering teams to understand business needs and turn them into effective AI solutions
- 3+ years of relevant professional experience in software engineering, machine learning engineering, AI, or a related technical role
- Solid software engineering fundamentals
- Hands-on experience building applications with LLMs and agentic AI
- Experience with software architecture and building production-grade systems
- Experience working with APIs, databases, and modern software development practices
- Ability to communicate and collaborate effectively with technical and non-technical stakeholders
- Bilingualism (French & English)
- Experience with modern agentic AI patterns such as tool use, RAG, or multi-agent systems
- Experience building or integrating MCP (Model Context Protocol) servers
- Experience with AI evaluation, observability, or LLMOps/MLOps practices
- Experience with cloud-native environments and containerized applications
A fantastic team that celebrates creativity and innovation, balancing professional dedication with a fun work environment
Life at Stingray
- A cool office in Montreal with the flexibility to work from home on Fridays
- Stingray café with breakfasts, lunches and snacks offered every day
- A subsidy for your OPUS card to make your commutes easier
- Shares purchase plan (with a contribution from Stingray)
- Full access to the Dialogue virtual healthcare platform
- Free fitness classes offered weekly
- Access to private consultations on nutrition and wellness
- Free language classes, training and access to the latest AI technologies and platforms to boost your productivity and creativity
- Summer hours
- Milestones celebrated with our loyalty program
- 5@7 and vibrant social events
- And much more!
Montreal-based Stingray Group is a leading music, media and technology company with over 1,200 employees worldwide. Our offices are located in the Old Port of Montreal just minutes from the Lachine Canal bike path, a prime location for picnics or a jog at lunch time.
Stingray supports the principles of Employment Equity and is committed to ensuring our workforce is representative of the communities we serve and in which we operate. Women, Aboriginal peoples, persons with disabilities and visible minorities are encouraged to apply and to self-identify so we can work towards full representation of those groups within our company.
Not the job for you? Go to jobs.stingray.com to consult other available positions and learn more about Stingray, we’re always on the lookout for new talent.
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More about this job
Responsibilities
Design, build, and deploy AI applications and agentic systems that address business needs, while contributing to the company’s agent platform and capabilities such as orchestration, tool use, retrieval, and evaluation. Apply sound software engineering and architecture principles to create reliable, maintainable systems, and collaborate with product and engineering teams to deliver effective AI solutions.
Requirements
Candidates need at least three years of relevant experience in software engineering, machine learning engineering, AI, or a related technical role, along with strong software engineering fundamentals and experience building LLM and agentic AI applications. They should have experience with software architecture, production-grade systems, APIs, databases, and modern development practices, communicate effectively with technical and non-technical stakeholders, and be bilingual in French and English.
Skills
- Software Engineering
- Machine Learning Engineering
- AI Application Development
- Large Language Models
- Agentic AI
- Software Architecture
- Production-Grade Systems
- API Integration
- Database Management
- Agent Orchestration
- Tool Use
- Retrieval-Augmented Generation
- Multi-Agent Systems
- Model Context Protocol
- AI Evaluation
- Cloud-Native Development
Benefits
- Flexible Work From Home on Fridays
- Daily Breakfast, Lunch, and Snacks
- Public Transit Subsidy
- Employee Share Purchase Plan
- Virtual Healthcare
- Weekly Fitness Classes
- Nutrition and Wellness Consultations
- Language Classes
- Training and Access to AI Technologies and Platforms
- Summer Hours
- Loyalty Program
- Social Events
Visa sponsorship
Not detected in the job text
Categories
- Software
- Technology
- Data & Analytics
- Engineering
Keywords
- Artificial Intelligence
- Large Language Models
- Agentic AI
- AI Applications
- Agent Platform
- Orchestration
- Tool Use
- Retrieval
- Retrieval-Augmented Generation
- Multi-Agent Systems
- Model Context Protocol
- Software Engineering
- Machine Learning Engineering
- Software Architecture
- Production-Grade Systems
- APIs
- Databases
- AI Evaluation
- Observability
- LLMOps
- MLOps
- Cloud-Native Environments
- Containerized Applications
- French
- English