30 days ago
Responsibilities
- Design, develop, and deploy production AI/ML systems that deliver business impact.
- Build and maintain LLM-based applications using context engineering techniques.
- Collaborate with data scientists to transition approved proof of concepts into production.
- Integrate AI capabilities into existing products and services through APIs and microservices.
- Design and implement evaluation frameworks to assess model accuracy and performance.
- Monitor production performance and implement optimizations based on evaluation metrics.
- Stay updated with changes in the AI landscape and prototype new ideas quickly.
Requirements
- Proficiency in developing clean, modular, and efficient code with Python.
- Experience building and deploying AI systems within Google Cloud Platform.
- Familiarity with Google Gemini, OpenAI, and Anthropic APIs.
- Knowledge of evaluation methodologies for assessing LLM accuracy and performance.
- Interest in vector databases, semantic search, and connecting AI systems to external tools.
- Fluency with AI-assisted development tools like Cursor and GitHub CoPilot.
- Foundational knowledge of machine learning concepts and model architectures.
- Natural curiosity and passion for staying current with AI technologies.
- Ability to balance innovation with practical business requirements.
- Comfortable communicating technical concepts to non-technical stakeholders.
Benefits
- Competitive compensation targeted at $205-240k CAD.
- Equity options to share in Syndio’s success.
- 20 days of annual leave plus paid sick and safe time.
- Pension contribution.
- Remote-first work environment with opportunities for local meet-ups.
Tech Stack
Categories
AI & MLData Science