This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior AI Developer based in Canada.
This is a hands-on senior engineering opportunity focused on designing and delivering production-grade AI solutions for complex enterprise workflows.
You’ll work at the intersection of AI architecture, backend engineering, data pipelines, and real-world product delivery.
The role offers the opportunity to take ideas from initial design through working code, testing, deployment, and continuous improvement.
You’ll build intelligent systems including agent-based architectures, RAG and GraphRAG pipelines, semantic search, and AI-powered document workflows.
Your work will contribute to SaaS products designed to improve operational efficiency and support safer, smarter processes in a highly specialized industry.
You’ll collaborate closely with engineers and product stakeholders while contributing to technical decisions, code quality, and engineering practices.
This is an ideal environment for an experienced AI developer who enjoys ownership, experimentation, and turning emerging technologies into reliable production systems.
Accountabilities:
- Design end-to-end AI system architectures, including agent-based systems, and implement their core components in production-ready code.
- Build, test, maintain, and continuously improve retrieval-augmented generation pipelines, including GraphRAG and emerging RAG approaches.
- Develop backend services, APIs, and data pipelines that integrate AI capabilities into practical enterprise workflows.
- Write and maintain Python code while leveraging Azure AI SDKs and cloud-native services.
- Develop AI-powered solutions for document digitization and classification, data vectorization, semantic search, content generation, and summarization.
- Prepare, structure, validate, and maintain training and evaluation datasets with production-quality requirements in mind.
- Contribute to technical discussions, architectural decisions, code reviews, and engineering best practices.
- Take ownership of initiatives from initial concept and experimentation through implementation, deployment, and measurable business impact.
- Help elevate engineering standards across the team through strong technical execution, collaboration, and craftsmanship.
Requirements:
- Proven experience developing and deploying AI-powered software and production-grade applications, with a strong track record of delivering measurable results.
- Strong hands-on Python development skills and experience building backend services, APIs, and data pipelines.
- Solid understanding of AI system architecture, including RAG, semantic search, vectorization, and agent-based approaches.
- Experience working with cloud platforms and AI services, ideally within an Azure environment.
- Familiarity with data preparation, training datasets, evaluation frameworks, and the operational requirements of production AI systems.
- Ability to translate business or workflow requirements into scalable technical solutions.
- Strong ownership mindset, with the ability to take initiatives from concept through completion without relying solely on direction.
- Comfortable learning and applying emerging AI technologies when they offer practical production value.
- Strong communication and collaboration skills, with the ability to contribute effectively to technical discussions and code reviews.
- Demonstrated leadership through technical execution, mentorship by example, and a commitment to engineering quality.
- Experience with technologies such as React, Next.js, Python, Azure, Minio, Weaviate, Ollama, PostgreSQL, or Redis is valuable.
- Experience with GraphRAG, OmniRAG, or comparable advanced retrieval and AI architectures is an advantage.
Benefits:
- Competitive compensation: CA$130,000–CA$160,000, with exact compensation varying based on relevant experience and expertise.
- Remote work: Fully remote opportunity available across Canada.
- Health and wellness: Health coverage and a spending account supporting physical and mental wellbeing.
- Professional development: Tools, resources, and support for continuous learning and career growth.
- Financial wellbeing: Competitive compensation and recognition tied to the impact you deliver.
- Work-life balance: Time off and flexibility designed to support rest, recovery, and personal commitments.
- Meaningful work: Opportunity to build AI products addressing complex operational challenges and contributing to a more sustainable future.
- Inclusive environment: Commitment to equal employment opportunities and a diverse workforce welcoming people with different backgrounds, experiences, perspectives, and abilities.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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