Applied AI Engineer – Data Quality Systems

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

📋 Description

• Take charge of data quality across the entire platform.

• Create systems to evaluate the reliability of the data.

• Analyze intricate datasets utilizing SQL, Snowflake, Python, and LLMs.

• Extract insights from extensive B2B datasets.

• Develop scalable and reusable datasets.

• Implement checks for data quality and conduct evaluations.

• Evaluate and integrate new data sources.

• Identify and resolve the most challenging data issues.

• Design LLM-based quality assurance checks.

• Deliver agentic remediation workflows.

• Serve as the technical escalation point for data quality matters.

⛳️ Requirements

• Over 6 years of experience in data quality, data engineering, or analytics, specifically emphasizing data quality systems.

• Proficient in SQL and Snowflake, capable of complex queries, performance optimization, and warehouse architecture.

• Strong Python capabilities, including experience with pandas, numpy, scripting, automation, and production-level coding.

• Extensive, demonstrable experience in developing agents, skills, and tool-calling pipelines.

• Ability to operate LLMs as production systems.

• Excellent judgment regarding rules versus LLMs.

• In-depth understanding of data quality principles.

• Proven expertise in BI and data visualization.

• Comfortable collaborating across various functions including product, engineering, sales, and marketing.

• Possess a product-oriented mindset.

🏝️ Benefits

• Competitive salary plus significant equity.

• True ownership of your work.

• Engage at the forefront of LLM-as-judge at a production scale.

• Chance to create a unique offering that is not available anywhere else in the market.