Backend Engineer - Bot Developer at Rad AI

Seattle, Washington, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Productivity Software, SaaSIndustries

Requirements

Proven ability to design and implement software solutions that scale effectively, particularly in high-volume environments

Responsibilities

Design, build, and maintain systems that capture, process, and stream high volumes of audio and video data from diverse sources, ensuring reliability, scalability, and low latency
Approach complex challenges in real-time media processing and data ingestion with effective technologies and creative solutions, even when faced with novel problems
Collaborate closely with cross-functional teams—including product managers, designers, and other engineers—to turn data-driven insights into meaningful, user-centric solutions
Identify, investigate, and resolve technical issues across data pipelines, streaming processes, and user interfaces, ensuring end-to-end reliability and performance
Contribute to building an inclusive and supportive team culture that celebrates diversity, fosters learning, and ensures everyone feels valued

Skills

Key technologies and capabilities for this role

Backend DevelopmentBot DevelopmentAudio ProcessingVideo ProcessingScalable SystemsData CaptureInfrastructure DevelopmentReal-time Insights

Questions & Answers

Common questions about this position

Is this position remote?

Yes, this is a fully remote position.

What is the salary for this Backend Engineer role?

This information is not specified in the job description.

What skills are required for this Bot Developer position?

The role requires proven ability to design and implement systems for capturing, processing, and streaming high volumes of audio and video data, with skills in real-time media processing, data ingestion, and solving complex technical challenges.

What is the company culture like at Read AI?

The team values creativity, collaboration, versatility, ingenuity, and a passion for solving complex problems, while contributing to an inclusive and supportive culture that celebrates diversity and fosters learning.

What makes a strong candidate for this role?

Strong candidates demonstrate creativity, adaptability, curiosity, and a passion for impactful work in building scalable systems for audio/video data, even without prior expertise in every tool.

Rad AI

AI-driven software for radiology workflows

About Rad AI

Rad AI enhances radiology workflows using artificial intelligence to improve efficiency and accuracy in radiological practices. Its main product, Omni Reporting, automates routine tasks, ensures follow-up on incidental findings, and improves reporting accuracy. This software integrates seamlessly into existing workflows, making it easier for radiologists to manage their tasks. Unlike competitors, Rad AI emphasizes data security and patient privacy, being SOC 2 Type II and HIPAA certified. The company's goal is to provide reliable AI-driven solutions that streamline healthcare processes and improve patient outcomes.

San Francisco, CaliforniaHeadquarters

2018Year Founded

$76.8MTotal Funding

SERIES_BCompany Stage

AI & Machine Learning, HealthcareIndustries

51-200Employees

Benefits

Health Insurance

Health Savings Account/Flexible Spending Account

401(k) Retirement Plan

Paid Holidays

Remote Work Options

Unlimited Paid Time Off

Risks

Emerging competition from companies like DeepMind could overshadow Rad AI's offerings.

Rapid AI technology evolution requires Rad AI to continuously innovate.

AI-driven automation may face resistance from the medical community.

Differentiation

Rad AI's Omni Reporting won 'Best New Radiology Software' by AuntMinnie.

Rad AI integrates AI with FHIRcast for enhanced radiology workflow interoperability.

Rad AI is a pioneer in using large language models for radiology report generation.

Upsides

Rad AI achieved a 48% increase in radiograph reporting efficiency at RANT.

Rad AI raised $50M in Series B funding, boosting its expansion capabilities.

Strategic collaboration with AGFA HealthCare enhances Rad AI's market position.

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