[Hiring] Senior Staff Data Engineer @Meeru AI Inc

Role Description

We are looking for a Senior AI Engineer to build the AI and intelligence layer — and help uphold the discipline that keeps it honest. Our output sits adjacent to externally reported financials, so "sounds plausible" is not good enough: everything the AI produces must be grounded in, and traceable to, verified data.

• Build machine-learning models that learn each customer's patterns.
• Create LLM and agentic systems that produce grounded natural-language output.
• Uphold the rigor that keeps output faithful.
• Own significant pieces of the layer end-to-end.
• Work closely with our Staff AI Engineer and evaluation engineer.
• Build per-customer models without leaking the very signal they're meant to detect.
• Turn designs into robust production systems.
• Measure quality rigorously.
• Help turn user feedback into durable improvements.
• Grow toward staff-level technical ownership.

Qualifications

• 10+ years in data engineering, including significant time at Staff, Principal or Lead level.
• Experience owning data architecture for a whole system, not just individual pipelines.
• Designed a canonical or common data model used by many teams.
• Expert SQL and dbt (or similar) modeling at scale.
• Deep warehouse knowledge: Snowflake, BigQuery and/or PostgreSQL.
• Production orchestration with Airflow, Dagster or Prefect.
• Strong Python for pipelines, tooling and testing.
• Experience leading and mentoring data engineers, ideally across distributed or offshore teams.
• Clear communication with architects, backend and AI engineers, and product.

Requirements

• Willingness to work part of your day overlapping with US hours.
• A firm commitment to correctness and traceability.
• Lineage, data contracts, data quality and schema evolution are second nature.

Benefits

• Offshore — Open to remote globally, working with our distributed engineering team.
• Flexible engagement — open to full-time, contract, or contract-to-hire.
• US partnership — partner closely with US-based AI leadership, with a few hours of daily time-zone overlap.

Nice-to-haves

• Financial and ERP source data experience.
• Multi-cloud and customer-hosted deployments experience.
• FinTech or financial-services background.
• Synthetic or "golden" test datasets experience.
• Feeding ML or LLM systems from a curated data layer.