Software Engineer (Mid to Staff level)

Rad AI; São Paulo; Híbrido; BRL 60.000 - 100.000; Tempo integral

Resumo da oferta

An innovative company is seeking Software Engineers to join their mission of transforming healthcare through AI. This role involves developing cutting-edge applications that enhance radiology workflows and improve patient care. You'll collaborate with a talented team to create scalable solutions, utilizing your expertise in full stack engineering, Python, and web technologies. If you're passionate about making a meaningful impact in healthcare and eager to work in a dynamic environment, this opportunity is perfect for you!

Serviços

HSA with employer match

401(k)

11 Paid Company Holidays

Flexible PTO policy

Annual equipment stipend

Annual company-wide offsite

Periodic team offsites

Qualificações

• 4+ years of industry experience in full stack engineering.
• Fluency with HTML, CSS, and responsive design.
• Experience with unit and integration testing.

Responsabilidades

• Develop large-scale web applications to streamline user workflows.
• Build Python and FastAPI backend services including REST APIs.
• Work with cross-functional teams to iterate on new features.

Conhecimentos

Full Stack Engineering

Python

FastAPI

HTML

CSS

Responsive Design

Unit Testing

Integration Testing

Communication Skills

Performance Optimization

Formação académica

Bachelor's Degree in Computer Science or related field

Ferramentas

PostgreSQL

Git

Typescript

React

Auth0

Amplitude

Descrição da oferta de emprego

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At Rad AI, we’re on a mission to transform healthcare with artificial intelligence. Founded by a radiologist, our AI-driven solutions are revolutionizing radiology—saving time, reducing burnout, and improving patient care. With one of the largest proprietary radiology report datasets in the world, our AI has helped uncover hundreds of new cancer diagnoses and reduced error rates in tens of millions of radiology reports by nearly 50%.

Rad AI has secured over $140M in funding, including a recently oversubscribed $60M Series C round led by Transformation Capital, bringing our valuation to $525M. Our investors include Khosla Ventures, World Innovation Lab, Gradient Ventures, Cone Health Ventures, and others—all backing our mission to empower physicians with cutting-edge AI.

Our latest advancements in generative AI are used by thousands of radiologists daily, supporting more than one-third of radiology groups and healthcare systems and nearly 50% of all medical imaging in the U.S. at partners including Cone Health, Jefferson Einstein Health, Geisinger, Guthrie Healthcare System, and Henry Ford Health.

Recognized as one of the most promising healthcare AI companies by CB Insights and AuntMinnie, and ranked by Deloitte as the 19th fastest-growing company in North America, we are building AI-powered solutions that make a real impact.

If you’re ready to shape the future of healthcare, we’d love to have you on our team!

Why Join Us:

We’re hiring multiple Software Engineers (mid to staff level) with backend and/or frontend experience to join our team building the future of radiology. This role will work alongside our high-performing cross-functional team of Product Engineers, ML Engineers, Product Leaders, and various other teams internally and externally to develop this responsive and performant application.

This is an in-person role, requiring you to be in the São Paulo office 3 times per week.

What You’ll Be Doing:

• Develop on large-scale progressive and single page web applications that streamline user workflows and increase their efficiency and effectiveness.
• Develop our Python, FastAPI backend services including a REST API and ML pipeline services (for backend engineers).
• Build new features that support our rapidly growing number of customers.
• Write code that meets our internal standards for security, style, maintainability, and best practices for a high-scale HIPAA web environment.
• Technical architecture, mentorship, and developing team best practices.
• Work with Product Management, ML, Data Science, UX, Customer Success and other stakeholders to iterate on new features and address defects.
• Advocate for improvements to product quality, security, and performance that have impact across your team.

Who We’re Looking For:

• 4+ years of industry full stack engineering experience with single and multi-tenanted environments.
• Knowledge of relational and document based databases, as well as other large scale data storage paradigms.
• Experience architecting, developing, and operating systems that can scale globally, using best practices for design and development.
• Fluency with HTML, CSS, responsive design, and other related web technologies.
• Experience with unit and integration testing.
• Experience working on a distributed team and strong version control skills using git.
• Experience with performance and optimization problems, particularly at large scale, and a demonstrated ability to diagnose and prevent these problems.
• Strong written and verbal communication skills in English.

Nice to Haves:

• Experience with Typescript and React.
• Experience with Python, FastAPI.
• Experience with PostgreSQL.
• Experience with 3rd-party integrations such as Auth0, Amplitude.
• Experience working at an early-stage startup.
• Experience in a HIPAA-compliant environment, especially with FHIR and HL7.
• Experience working on machine learning.

Join our world-class team as we build and deploy AI solutions that empower physicians and transform patient care—making a meaningful impact on millions of lives. Driven by our mission, we prioritize transparency, inclusion, and close collaboration, bringing together exceptional people to revolutionize healthcare. If you're passionate about driving innovation and delivering impactful healthcare solutions, we'd love to hear from you!

For US-Based Full-Time Roles, Rad AI offers a variety of benefits, including:

• HSA (with employer match), FSA, & DCFSA
• 401(k)
• 11 Paid Company Holidays
• Location Flexibility (Remote-first company!)
• Flexible PTO policy
• Annual company-wide offsite
• Periodic team offsites
• Annual equipment stipend
• For roles based outside the US, your recruiter can share more details

At Rad AI, we value diversity and provide equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.

Please be vigilant regarding job scams. We advise all candidates to apply directly through our official careers page. Our recruiters will use email addresses with the domain @radai.com or [e-mail].

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Contract

Job function

• Industries

  Software Development

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