AI Engineer (Superhuman Mail)

Accountabilities: As an AI Engineer, you will help develop and scale the intelligent infrastructure behind advanced email and AI-powered productivity experiences. Your main responsibilities will include: Build and continuously improve the Model Context Protocol (MCP) infrastructure, developing new tools, standards, and capabilities that enable AI agents to take meaningful actions on behalf of users. Design, implement, and scale agentic workflows and personalized AI features. Develop evaluation frameworks to measure AI performance, assess output quality, and identify regressions as prompts, models, and tools evolve. Evaluate and select the most appropriate AI models for different use cases, exploring solutions from leading providers and open-source communities. Collaborate with cross-functional engineering and product teams to provide reusable AI tools and infrastructure that accelerate feature development. Deliver solutions quickly, learn from implementation results, and adapt to evolving technologies and industry developments. Contribute to machine learning strategy where relevant, including data collection approaches and data generation methods. Requirements The ideal candidate combines strong backend engineering expertise with practical experience developing and deploying AI-powered applications. You should demonstrate technical curiosity, adaptability, and a strong sense of ownership. Key qualifications include: 4–6+ years of software engineering experience, with a solid foundation in backend development. Proficiency in Python or TypeScript; experience with Go is an advantage. Hands-on experience building and deploying production-ready applications powered by Large Language Models (LLMs), including AI agents and agentic workflows. Experience developing evaluation frameworks to measure, monitor, and improve LLM performance and quality. Familiarity with Model Context Protocol (MCP) servers and tools, or a strong willingness to develop expertise in this area. Working knowledge of machine learning concepts and the ability to assess model capabilities, trade-offs, and suitability for different tasks. A practical, builder-oriented mindset, with an interest in applying AI rather than focusing exclusively on research. Comfort working in ambiguous environments and adapting quickly to changing priorities. Enthusiasm for AI and experience using AI tools to improve personal productivity and team effectiveness. Strong ownership, initiative, problem-solving abilities, and a continuous learning mindset. Benefits Competitive annual base salary ranging from CA$128,000 to CA$210,000 , depending on location, experience, skills, and qualifications. Equity opportunities. Comprehensive healthcare coverage, including medical, dental, vision, mental health, and fertility benefits. Disability and life insurance options. Retirement savings plans with 401(k) and RRSP matching. Paid parental leave. 20 days of paid time off annually. 12 paid holidays and two additional floating holidays per year. Flexible sick leave. Generous stipends covering caregiving, pet care, wellness, home office expenses, and other needs. Annual professional development budget and learning opportunities. Remote-flexible working arrangements across Canada, with a hybrid option for team members based in Vancouver. A collaborative team culture that encourages focused work, autonomy, and professional growth.