Senior AI Developer

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.