Senior AI Software Developer

Senior AI Software Developer (Canada Remote)

Responsibilities

• Design, build, and operate production-grade agentic personalization systems that adapt to user behavior and context

• Research, develop and implement ML models using Transformers, LLMs, and classical ML algorithms for search and recommendation use cases

• Be proficient in agentic frameworks (e.g., LangGraph) and building systems that orchestrate multi-step reasoning, tool use, and decision-making workflows

• Be proficient in optimized inference engines/frameworks like vLLM, TensorRT

• Productionize ML- and LLM-powered workflows, including inference services, orchestration, monitoring, and iteration

• Build agentic systems that leverage agent memory, retrieval-augmented generation (RAG), and tool ecosystems/APIs to deliver context-aware personalization and recommendations

• Build and evolve data and feature pipelines that power personalization, experimentation, and feedback loops

• Develop robust methods to evaluate LLM performance, ensuring ethical AI practices

• Monitor and improve deployed models based on real-world performance metrics and customer feedback

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

• Minimum Qualifications

• BS or MS in Computer Science, Engineering, or a related field

• 6 or more years of professional software engineering experience, including ownership of production systems

• Strong experience building AI systems in cloud environments, AWS preferred

• Hands-on experience delivering AI, ML, or LLM-powered systems into production

• Experience with AI agents, orchestration frameworks, or hybrid reasoning systems

• Experience with MLOps practices, experimentation frameworks, and model monitoring

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

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

• Strong understanding of system design, scalability, and operational excellence

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

• Excellent communication skills and ability to influence technical decisions

• Experience building personalization, recommendation, or insight platforms

• Experience with real-time or event-driven architectures

• Exposure to AI governance, privacy, or safety considerations at scale

• Experience mentoring Junior engineers or acting as a technical lead on complex initiatives