Firmable is the market-leading B2B sales intelligence platform in Asia Pacific — and we're scaling that success globally at pace. Backed by leading investors and 2,000+ customers solid, we exist to give sales teams an unfair advantage: the deepest company and people data of any platform, enriched with real-time signals, served at the right moment by intelligent agents.
Our data is the product. Building it now means building with LLMs in the pipeline, and setting the standard for when to trust them.
The Role
As Senior Data Engineer — Data Platform, you'll architect the transformation and warehouse layer that turns billions of raw records into the world's most accurate B2B dataset, and design how LLM-based extraction, enrichment, and validation run inside it as production infrastructure.
You make the architecture calls: model design and materialisation, warehouse cost and performance, orchestration patterns the team builds on, and the rule-vs-LLM standard for every quality and enrichment step. You know when a dbt test does the job, when an LLM check is needed, and when both belong together.




This is hands-on senior engineering with sharp architecture judgement. You write the reference implementation, then the team builds on it.
What You'll Own
• LLM-in-the-pipeline architecture — the patterns for extraction, enrichment, entity resolution, and semantic validation over millions of records a day: structured outputs, retries, human-review fallbacks, and the abstractions others reuse

• Eval harnesses — design the labelled sets, scorers, judge calibration, and regression suites that gate every prompt or model change; own precision/recall targets per check

• The rule-vs-LLM standard — deterministic checks (dbt tests, data contracts, SQL) wherever structure allows; LLMs only where semantic judgement is needed; codified so the team can apply it without you

• Cost and drift — token budgets per pipeline, model routing (cheap models for classification, stronger ones for hard c

📌 Senior Data Engineer (India)
🏢 Firmable
📍 India