
Senior AI Data Engineer
Posted Aug 12

Posted Aug 12
This is a fully remote position, open to applicants in United States.
• Design, develop, and manage production AI systems, including agent orchestration, tool and API integrations, retrieval pipelines, and evaluation harnesses.
• Architect and sustain marketing databases, datasets, pipelines, and Samsara's Customer Data Platform.
• Collaborate with the BI team to enhance conversational analytics within marketing.
• Identify and automate manual workflows using AI, from conception to production.
• Construct end-to-end data pipelines and integrate data into downstream systems.
• Ensure the reliability and data quality of delivered systems.
• Work with both technical and non-technical stakeholders to convert ambiguous business inquiries into scalable solutions.
• Deliver and review high-quality Python and SQL code, including AI-generated code.
• Mentor engineers, perform code reviews, and establish team best practices.
• Over 5 years of experience in data engineering or AI engineering, with significant hands-on data engineering experience.
• Proficient in Python and SQL.
• Strong practical experience in data modeling.
• Experience in building and deploying production systems utilizing LLMs or agents.
• Frequent use of agentic coding tools like Claude Code or Cursor.
• Extensive knowledge of data warehouse architectures, ETL/ELT processes, and modern data stacks such as Databricks, dbt, Snowflake, or BigQuery.
• Capacity to independently lead requirements gathering and translate business needs into technical solutions.
• Ability to recognize automation opportunities through discussions with stakeholders.
• Excellent communication and project management skills for both technical and non-technical audiences.
• A software engineering background beyond data or AI engineering is preferred.
• Experience supporting business functions such as marketing, sales, finance, or business operations is preferred.
• Familiarity with Databricks is preferred.
• Knowledge of CRM, marketing automation, web analytics, and CDPs is preferred.
• Experience with evaluating and monitoring production LLM systems is preferred.
• Initial RSU grant with no vesting cliff.
• Continuous equity refresh opportunities based on performance.
• Performance-based bonuses/variable pay.
• Flexible, employee-led remote working model.
• Professional development stipend.
• Comprehensive health plans.
• Parental leave plans.
• Above-market total compensation.
• Flexible working arrangements.
• Support for remote work.
Railroad19
GFT Technologies
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