Tonic AI
Forward Deployed Engineer, Data De-Identification
$120K–$180K
Remote · Remote · Full-time · Posted Oct 12, 2026
- Experience
- Several years; no specific number stated.
- Education
- Bachelor’s degree in a technical field (computer science, engineering, math, statistics, physics, bioinformatics, or similar).
About the job
Deliver client data de-identification projects by processing and validating company data, addressing pipeline issues, and producing accepted datasets and client reports.
What you'll do
- Run corpora through the de-identification pipeline; validate results and troubleshoot issues.
- Build or adjust ingestion and transformation steps, write platform-compatible code, and run reconciliation checks.
- Document technical methods and limitations, explain results to clients, and turn project fixes into reusable tooling and runbooks.
What they ask for
- Bachelor’s degree in a technical field.
- Several years of hands-on data engineering, backend engineering, or customer-facing solutions/forward-deployed experience shipping production systems.
- Strong Python, other backend programming languages, and SQL skills; ability to read and debug others’ code.
- Experience building repeatable pipelines for large volumes of structured, semi-structured, and unstructured data.
Nice to have
- Experience with model inference, ML pipelines, or PyTorch.
- Experience building or maintaining data masking, de-identification, ETL, or synthetic data tooling.
Pay
$120K – $180K USD base salary
Tools
Python, SQL, PyTorch
AI focus
Use AI tools and agents as central parts of the workflow, with human oversight; deliver de-identified company data for AI training.
Model-written summary · the original posting is authoritative