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Senior Software Engineer

Prosper AI

Location not specified

Posted: March 2, 2026

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Quick Summary

We're seeking a Senior Software Engineer to join our team, responsible for designing and developing AI Phone Agents for healthcare.

Job Description

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

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

3-5 years of experience building complex software solutions.

Solid grasp of algorithms, data structures, and software engineering best practices, especially in Python and Javascript/React.

Experience managing large scale distributed systems with asynchronous tasks.

Familiarity with LLMs, AI agents or other ML models is a plus.

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.

Interviewing process

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

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

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

Talk with the co-founder (60 minutes)

Offer stage

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