About the job
About Prosper AI
Prosper AI is at the forefront of innovation, specializing in AI Phone Agents designed for the healthcare sector. Our mission is to deliver human-like expertise while dramatically reducing operational costs. Our AI Agents efficiently manage a variety of tasks such as patient outreach, claims status inquiries, benefit verifications, prior authorizations, scheduling, and balance reminders. We are dedicated to eliminating $200 billion in administrative waste, enabling healthcare professionals to devote more time to patient care instead of administrative duties.
Your Role
Join us at Prosper as we redefine the capabilities of real-time AI technology. As a Software Engineer, your primary focus will be on designing and scaling our robust platform, including low-latency speech and LLM pipelines, orchestration layers, and reliability systems that empower our AI voice agents to engage in complex healthcare conversations with clarity and efficiency. This position is a full-time, on-site opportunity based in Barcelona with the potential for relocation to our New York office.
Qualifications
1-3 years of hands-on experience in developing end-to-end software solutions, from architecture to deployment.
Proficiency in technologies that drive our stack, particularly FastAPI (Python) for backend development and React (TypeScript) for frontend.
Experience in managing large-scale distributed systems with asynchronous workload orchestration.
Familiarity with LLMs, AI agents, or other machine learning models is advantageous; we utilize Pipecat for our voice agents.
A founder mindset: take ownership and work diligently, viewing Prosper as a stepping stone to your future entrepreneurial endeavors.
Prepared to tackle the complexities of deploying AI voice agents for thousands of daily calls.
Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Physics, or a related field (or equivalent experience).
Interview Process
Initial conversation to discuss your background, aspirations, and career goals (30 minutes).
Completion of a take-home challenge to be reviewed in the subsequent interview.
Discussion of your solution with our engineering team to evaluate your approach and thought process.

