As a Senior AI Developer, you'll create AI-driven software solutions, mentor teammates, and ensure high-quality implementations while engaging with clients on technical decisions.
Who we are
We’re a thriving and agile tech development firm. People are at the center of everything we do. Simply put, we care. Our team personally cares about our clients and the world around them, and we care about our team’s life-long dreams, aspirations, and career development.
We strongly believe in the power of community. This is why we seek opportunities to build meaningful relationships with everyone around us.
We celebrate diversity in all its forms. Backgrounds, personalities, career paths, languages... you name it. We actively innovate, learn, and share stories around the topic. We want everyone to feel welcomed and included in all we do.
We like having fun and enjoying ourselves. We wake up every day inspired to build a more efficient and enjoyable world.
Role overview
As a Senior AI Developer, you build production-grade AI features and systems for enterprise clients. You bring disciplined software development practices, strong applied AI skills, and the ability to take ownership from design through delivery. You collaborate across roles, mentor teammates, and help teams make pragmatic technical decisions that lead to reliable solutions in production.
The technologies below are a reference point for our stack. Above all, we hire for strong fundamentals, autonomy, and the potential to grow.
Your key responsibilities
- Develop and deliver AI-driven software solutions for clients
- Identify opportunities to integrate AI technologies into products and workflows
- Implement solutions following specifications and documentation (SRS, C4)
- Define and communicate non-functional requirements and quality targets
- Build robust ML pipelines and production integrations (APIs, services, data flows)
- Coach colleagues on AI implementation patterns and engineering best practices
- Take initiative, own tasks end-to-end, and drive execution with strong time management
- Uphold and reinforce software development guidelines, code quality, and testing standards
- Research, test, and implement new models, tools, and approaches
- Consult with clients on technical decisions, trade-offs, and delivery plans
The ideal candidate
- 5+ years of software development experience, including 3+ recent years delivering AI/ML work (Deep Learning, Computer Vision, NLP, Generative AI, Predictive Analytics, etc.)
- Master’s (or PhD) in Computer Science / Software Engineering specialized in AI, or equivalent experience
- Intermediate or conversational French (minimum)
You should be proficient with
- Python 3
- Key Python libraries (NumPy, Pandas, PyTorch, Scikit-learn)
- Data analysis, cleaning, processing, and augmentation
- Deep learning frameworks (TensorFlow, Keras, PyTorch)
- AI services on at least one cloud platform (AWS, Azure, Google Cloud, etc.)
- MLOps practices (deployment, monitoring, automation, CI/CD)
- Testing (unit, functional, E2E, etc.)
- Development methodologies (Agile, Scrum, XP, Kanban, Shape Up, etc.)
It’s a plus if you have experience with
- Go, Java and/or JavaScript
- Enterprise software development
- In-memory storage, caching, and queue systems
- Microservices and serverless systems
- Domain-driven design
- A modern client-side framework/library (Angular, React, Svelte, etc.)
What we offer
- Competitive Salary and contribution to your pension plan (RRSP)
- Flexible hours of work and choose how you work
- Work from anywhere up to 8 weeks
- Paid sabbatical
- Wellness and productivity spending account
- Parental program
- Activities
- Training
- And more...
The process for this role if you are selected
1. 20 min - Initial introductory call with a person from our technical team.
2. 90 min - In-person interview at our office
3. Offer presentation
Only considered candidates will be contacted. Read our full hiring process here.
Top Skills
AWS
Azure
GCP
Keras
Numpy
Pandas
Python 3
PyTorch
Scikit-Learn
TensorFlow
Osedea Montréal, Québec, CAN Office
4000 St-Ambroise, 270, , Montréal, PQ , Canada, H4C 2C7
Similar Jobs
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
As a Senior Software Engineer on the AI Platform, you'll develop scalable AI systems, focusing on backend services, workflows, and integrations, partnering with cross-functional teams.
Top Skills:
GoJavaLangchainOpenai SdkPython
Artificial Intelligence • Fintech • Machine Learning • Productivity • Software • Analytics • Generative AI
Build and improve AI/ML systems and data pipelines for a B2B SaaS platform; shape product and technical strategy; work with customers; mentor team members; ensure secure, robust, and scalable infrastructure.
Artificial Intelligence • Cloud • Hardware • Information Technology • Software
Rapidly prototype and iterate AI-powered features (LLMs, embeddings, real-time audio, APIs), lead experiments from hypothesis to proof-of-concept, collaborate with product and engineering to translate prototypes into product-aligned solutions, and share learnings and artifacts to accelerate team innovation.
Top Skills:
APIsCloud-Native ServicesContainer OrchestrationEmbeddingsJavaScriptLlmsPythonReal-Time AudioSttTtsTypescriptVector Dbs
What you need to know about the Montreal Tech Scene
With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.
Key Facts About Montreal Tech
- Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
- Major Tech Employers: SAP, Google, Microsoft, Cisco
- Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
- Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
- Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
- Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal


