Senior AI Software Developer

This is a fully remote position, open to applicants in Canada.

📋 Description

• Design, create, and manage production-level agentic personalization systems that respond to user behavior and context.

• Conduct research, develop, and implement machine learning models utilizing Transformers, LLMs, and traditional ML algorithms for search and recommendation applications.

• Demonstrate proficiency in agentic frameworks (e.g., LangGraph) and in constructing systems that facilitate multi-step reasoning, tool utilization, and decision-making processes.

• Exhibit expertise in optimized inference engines/frameworks such as vLLM and TensorRT.

• Productionize ML- and LLM-driven workflows, encompassing inference services, orchestration, monitoring, and iterative enhancements.

• Create agentic systems that utilize agent memory, retrieval-augmented generation (RAG), and tool ecosystems/APIs to provide contextually aware personalization and recommendations.

• Develop and enhance data and feature pipelines that support personalization, experimentation, and feedback mechanisms.

• Establish robust methodologies for assessing LLM performance while adhering to ethical AI practices.

• Monitor and refine deployed models based on actual performance metrics and user feedback.

• Collaborate with cross-functional teams, including engineering, product management, and operations, to convert research into production-ready systems.

⛳️ Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related discipline.

• A minimum of 6 years of professional software engineering experience, with a focus on ownership of production systems.

• Extensive experience in building AI systems within cloud environments, preferably AWS.

• Practical experience in deploying AI, ML, or LLM-powered systems into production.

• Familiarity with AI agents, orchestration frameworks, or hybrid reasoning systems.

• Knowledge of MLOps practices, experimentation frameworks, and model monitoring techniques.

• Proficiency in one or more programming languages, such as Python, Java, or equivalents.

• Experience with data systems, including RDBMS, NoSQL, data warehouses, and streaming platforms.

• Strong comprehension of system design, scalability, and operational excellence.

• Ability to work independently while effectively collaborating across engineering, product, and data teams.

• Exceptional communication skills with the capability to influence technical decisions.

• Experience in developing personalization, recommendation, or insight platforms.

• Familiarity with real-time or event-driven architectures.

• Knowledge of AI governance, privacy, or safety considerations at scale.

• Experience mentoring junior engineers or serving as a technical lead on complex projects.

🏝️ Benefits

• Annual cash bonuses.

• Stock grants.

• Comprehensive benefits package.