Software Engineer Agentic Data Pipelines

Skills

About the Role

You will design, build, and maintain agentic systems that acquire, clean, validate, and version biomedical datasets. You will develop LLM-based data pipelines, implement quality controls, evaluate agent reliability, maintain production workflows, document provenance, and operate agents safely.

Requirements

• Master’s degree in a computational STEM field, or a bachelor's degree with 2+ years of industry experience.
• Strong Python engineering skills and production-quality software experience.
• Experience with LLM APIs and agentic patterns including tool use, orchestration, and multi-step reasoning.
• Familiarity with biomedical or chemical data sources and formats.
• Knowledge of ETL design, data validation, and structured and unstructured data processing at scale.
• Experience with Python testing frameworks.

Responsibilities

• Design, build, and maintain agentic systems that create reviewed and versioned biomedical datasets.
• Develop LLM-based pipelines for data cleaning, normalization, and formatting.
• Implement automated quality-control workflows.
• Evaluate and improve agent architectures, prompts, tools, validation loops, and evaluation harnesses.
• Collaborate with ML scientists to translate data requirements into scalable systems.
• Monitor and maintain distributed production data pipelines.
• Document data provenance, processing decisions, and quality metrics.
• Operate agents safely with sandboxed execution, least-privilege credentials, restricted network access, and audit logs.

Benefits

• Company-paid healthcare
• Flexible spending accounts
• Voluntary life insurance
• 401K matching
• Uncapped vacation
• Onsite gym
• Onsite dining