Principal Applied AI/ML Engineer

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

📋 Description

• Direct the architecture, design, and advancement of production-level applied AI systems, encompassing LLM, ML, retrieval, agentic, and automation-based functionalities.

• Take ownership of the most intricate technical challenges throughout the stack, from model behavior and system architecture to infrastructure, reliability, quality, and operational scalability.

• Establish the technical vision for the construction, integration, evaluation, security, monitoring, and ongoing enhancement of AI solutions.

• Influence platform and systems decisions within AWS environments, focusing on performance, resilience, observability, security, and cost efficiency.

• Guide the design and optimization of data systems, including relational and graph databases, data access methodologies, schema strategies, and query performance.

• Lead infrastructure strategies for distributed and cross-regional services where availability, latency, failover, or scalability necessitate heightened architectural rigor.

• Implement enhanced engineering quality practices, such as validation frameworks, automated testing, release management, QA strategies, and incident response maturity.

• Convert unclear business or product opportunities into technical strategies, execution plans, and quantifiable results.

• Collaborate with engineering, product, data science, analytics, and business stakeholders to align priorities and make decisions without relying on formal authority.

• Offer technical guidance to a team of approximately 20 individuals by mentoring engineers, reviewing designs, clarifying trade-offs, and elevating standards for execution.

• Create clarity in ambiguous settings by defining milestones, identifying risks, tracking dependencies, and ensuring accountability across distributed teams.

⛳️ Requirements

• Profound experience in developing and scaling production software systems with significant AI/ML components.

• Mastery of Python and familiarity with the latest AI/ML research and implementations/patterns.

• Proven track record in leading architecture and delivery of complex, cross-functional technical projects.

• Strong hands-on engineering skills in backend systems, APIs, services, data pipelines, and production operations.

• Extensive experience with AWS administration and optimization, including cloud architecture, observability, security, reliability, and cost/performance considerations.

• Deep understanding of database system design and optimization, particularly relational systems, with a strong preference for experience with graph databases.

• Capability to function effectively as a technical generalist across related areas such as DevOps, infrastructure engineering, quality/QA, and delivery planning.

• Excellent judgment in ambiguous situations, with the ability to simplify, prioritize, and make informed trade-off decisions.

• Exceptional written communication skills, including architecture documents, technical strategy memos, design reviews, decision records, and asynchronous execution updates.

• Exceptional verbal communication abilities, with the capacity to influence both technical and non-technical stakeholders.

• Proven success in collaborating across different geographies, functions, and time zones.

🏝️ Benefits

• Health insurance

• Retirement plans

• Paid time off

• Flexible work arrangements

• Professional development

• Bonuses

• Stock grants