LLM Data Engineer

About this role

LLM Data Engineer- Citizen Only

Location: REMOTE

Duration 12-18mth+

Must have:

• **AWS, Data Sets, data sources, data services with in AWS**
• **Strong AI & LLM**
• **Recent healthcare industry exp (HIPAA, hl7, etc)**
• **LinkedIn Page**
• **Strong communication**
• **US Natural Citizen considered first and among all candidates.**
• **LinkedIn Page**

Context

: We are looking for a Generalist Data Engineer for one of our clients building a healthcare-focused AI benchmark and evaluation suite. The initial target is for clinical prediction tasks including sepsis onset, days-to-death, and lab value trend forecasting, evaluated across multiple frontier and vertical-specific models.

Role Summary You will be responsible for everything that happens to data before a model sees it and after a model responds. You will build the ingestion, normalization, and packaging layer that turns the raw healthcare data into standardized benchmark inputs, and the storage and query layer that makes evaluation results analyzable.

What You will Own

• Build ingestion and normalization pipelines for three distinct modality families: DICOM radiology studies, whole-slide pathology images, and tabular EHR extracts (labs, vitals, encounters, medication administration records).
• Design the canonical benchmark record format, which is the intermediate representation that every task configuration and every model adapter reads from, so that “full EHR record” and “image only” variants of the same task are provably drawing from the same underlying case.
• Solve the modality packaging problem: gigapixel pathology slides and multiseries radiology studies must be reduced to payloads that fit inside third-party API limits (48 images, 20 MB) without silently destroying diagnostic signal. You will build the tiling, region selection, downsampling, and compression strategies, and the provenance metadata that records exactly what was sent so results remain reproducible and defensible.
• Construct...