
Senior AI Data Engineer
Posted 2 days ago

Posted 2 days ago
This is a fully remote position, open to applicants in Canada.
• Design, develop, and manage production AI systems, which encompass agent orchestration, tool and API integrations, retrieval pipelines, and evaluation harnesses.
• Architect and uphold marketing databases, datasets, pipelines, and Samsara’s Customer Data Platform (CDP).
• Collaborate with the BI team to enhance conversational analytics across marketing initiatives.
• Recognize and automate manual workflows using AI from the conceptual stage through to production.
• Establish comprehensive data pipelines and integrate newly onboarded tools into downstream systems.
• Take ownership of the reliability and data quality of the systems you build.
• Convert ambiguous business inquiries into technical specifications and scalable solutions in partnership with both technical and non-technical stakeholders.
• Deliver high-quality code in Python and SQL, and review AI-generated code prior to its production release.
• Mentor engineers, perform code reviews, and establish best practices for the team.
• Over 5 years of professional experience in data engineering or AI engineering, including substantial hands-on data engineering expertise.
• Advanced knowledge of Python and SQL, along with significant hands-on data modeling experience.
• Proven experience in building and deploying production systems utilizing LLMs or agents.
• Regular use of agentic coding tools such as Claude Code or Cursor, ensuring verification and accountability of AI-generated outputs.
• Extensive experience with data warehouse architectures, ETL/ELT processes, and modern data stack technologies like Databricks, dbt, Snowflake, or BigQuery.
• Capability to independently lead requirements gathering and align business needs with technical implementation.
• Strong communication and project management skills suitable for engaging both technical and non-technical audiences.
• A software engineering background that extends beyond data or AI engineering.
• Experience in providing direct support to a business function such as marketing, sales, finance, or business operations.
• Competence in evaluating and monitoring LLM systems in a production environment.
• Familiarity with CRM, marketing automation, web analytics, and CDP systems like Salesforce, Hightouch, or Segment.
• Initial RSU grant with no vesting cliff.
• Ongoing refresh opportunities linked to performance.
• Performance-based bonus/variable pay.
• Equity for eligible roles.
• Flexible, employee-led remote working model.
• Professional development stipend.
• Comprehensive health plans.
• Parental leave plans.
Pluribus Digital
GoMining
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