About Prosper AI

Prosper AI specializes in AI Phone Agents for healthcare, providing human-like expertise while significantly reducing costs. Our AI Agents efficiently handle tasks for calling patients and payors such as claims status checks, benefit verification, prior authorizations, patient scheduling, and balance reminders. We aim to eliminate $200B in administrative waste, allowing healthcare professionals to focus more on healing and less on administrative tasks.

What you'll do

At Prosper, we're pushing the limits of what's possible with real-time AI. We're not just making voice agents that "talk", we're engineering systems that sound human, reason under strong latency constraints, and adapt instantly to messy, high-stakes healthcare conversations. As a Software Engineer, you'll be at the center of designing and scaling our platform, the low-latency speech/LLM pipelines, orchestration layers, and reliability systems that make this possible.

This is a full-time on-site role located in Barcelona with the possibility to move to the New York Office.

What we're looking for

• 3-5 years of experience building products end-to-end, from architecting solutions to deploying production-grade software.

• A strong understanding of the technologies that power our stack or their equivalents in other languages: FastAPI (Python) backend with a React (TypeScript) frontend.

• Experience managing large scale distributed systems with asynchronous workload orchestration.

• Familiarity with LLMs, AI agents or other ML models is a plus. We use Pipecat for our voice agents.

• Founder mindset: ownership + hard work. You see Prosper as a learning step for your future startup.

• Be ready to handle the challenges of deploying AI voice agents to thousands of daily phone calls.

• Bachelor's or Master's degree in Computer Science, Engineering, Maths, Physics or related field (or equivalent experience).

Interviewing Process

1. Initial conversation to understand who you are, what you want to do, and where you wanna go (30 minutes)

2. Work on a take-home challenge to discuss in the following interview

3. Review your solution with a couple of engineers from the team (60 minutes)

4. Talk with the co-founder (60 minutes)

5. Offer stage