Clinical AI Engineer: Build AI-Driven Clinical Data Platform

Warman O'Brien

United States

On-site

USD 120,000 - 180,000

Full time

2 days ago
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Job summary

Warman O'Brien is seeking a Clinical AI Engineer to join our technology team. You will design AI‑enabled solutions for clinical data, devices and digital health platforms, collaborating with Engineering, Product, Data and QA to deliver production‑level systems in regulated environments.

You will build scalable data pipelines, develop reusable integration frameworks and deploy AI‑driven workflows using LLMs and intelligent automation while ensuring alignment with GxP/21 CFR Part 11 and medical

Qualifications

  • 5+ years of software engineering, data engineering or AI engineering experience.
  • Strong Python development and production‑grade software experience.
  • Experience designing APIs, data pipelines and system integrations.
  • Hands‑on experience with LLMs, RAG, agentic AI or AI‑enabled apps.
  • Experience with AWS and containerization (Docker, Kubernetes).
  • Strong SQL and relational database experience.

Responsibilities

  • Design and build integrations across clinical tech platforms and APIs.
  • Develop scalable data pipelines transforming raw data into analysis‑ready information.
  • Create reusable integration frameworks and APIs to avoid bespoke solutions.
  • Develop AI‑enabled workflows using LLMs, RAG and AI agents.
  • Apply AI to improve software development, data processing and study configuration.
  • Integrate data from wearables, sensors and digital health technologies.
  • Work with streaming data; handle ingestion, validation and quality control.

Skills

Python
APIs & data pipelines
LLMs / RAG / AI agents
AWS
CI/CD
SQL

Education

Bachelors or higher in CS or related field

Tools

Docker
Kubernetes
Kafka
SQS

Job description

Warman O'Brien is seeking a Clinical AI Engineer to join our technology team. You will design AI‑enabled solutions for clinical data, devices and digital health platforms, collaborating with Engineering, Product, Data and QA to deliver production‑level systems in regulated environments.

You will build scalable data pipelines, develop reusable integration frameworks and deploy AI‑driven workflows using LLMs and intelligent automation while ensuring alignment with GxP/21 CFR Part 11 and medical

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