Software Engineer I - AI

Brellium • New York, NY

96d

About The Position

Brellium's mission is a big one – to improve the standard of care across the US healthcare system. We’ve built AI-powered technology that helps healthcare providers deliver safer, higher-quality care - starting with the first real-time medical review platform built to fix clinical and compliance risks before they impact patients. Each year, 1 in 20 people in the U.S. experiences a medical diagnostic or compliance-related mistake. Most providers lack the time, staffing, and tools to mitigate these issues - so they go unnoticed, impacting care quality and increasing clinical and financial risk. Brellium is building the AI-powered platform that helps providers deliver safer, more consistent care by mitigating risk early and aligning patient visits with clinical best practices. Our goal is to give every provider in the U.S. the tools to deliver clinically excellent, data-driven care - at scale. Brellium was founded in 2021. Since then, we’ve grown to serve over 250,000 providers across all 50 states who use Brellium to take better care of their patients and ensure data-driven, compliant care. We’re a Series A company with over $16MM in funding from First Round Capital, Left Lane Capital, and Menlo Ventures.

Requirements

• 1–3 years of experience as a Software Engineer
• Proficient in Python and TypeScript
• Basic understanding of AI agents and AI workflows, and how they fit into real-world applications
• Experience building AI applications and designing AI-centric systems
• Familiar with modern AI frameworks and APIs, such as LangChain and LlamaIndex
• Strong problem-solving skills and a bias toward action, tackling ambiguous challenges head-on
• Experienced with SQL and relational databases, and comfortable owning end-to-end data workflows
• Thrive in fast-paced, high-impact startup environments
• Effective communication and collaboration across teams
• Excited to grow with an early-stage company over the next several years, taking on increasing responsibility

Responsibilities

• Work closely with Product to integrate modern LLMs into real-world applications
• Design and build AI-centric features end-to-end, optimized for performance and reliability
• Build evaluation pipelines and define metrics to measure AI agents and workflows, ensuring robustness and continuous improvement
• Deliver high-quality features quickly through strong execution, collaboration, and adaptability
• Collaborate across teams to ensure reliability, scalability and smooth operation of core systems
• Contribute to a fast-moving, highly collaborative environment where your ideas directly impact how care is delivered

Benefits

• Equity Compensation
• Medical, Dental, and Vision coverage
• HSA / FSA
• 11 paid holidays each year
• Flexible PTO
• Training and professional development
• Hybrid Work Schedule (4 days in-office)

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Bachelor's degree
• Number of Employees: 11-50 employees