Senior Ai Engineer

Prosper AI
Barcelona, Spain
9 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
3 years minimum
Working hours
Regular working hours

Tech stack

JavaScript (Programming Language) Artificial Intelligence Systems Engineering Data Structures Distributed Systems Python (Programming Language) Machine Learning Software Construction Large Language Models Information Technology Low Latency

Job description

About Prosper AIProsper 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 doAt 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 forBachelor’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 processInitial 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 interviewReview your solution with a couple of engineers from the team (60 minutes)Talk with the co-founder (60 minutes)Offer stage #J-*****-Ljbffr

Requirements

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 forBachelor’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 processInitial 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 interviewReview your solution with a couple of engineers from the team (60 minutes)Talk with the co-founder (60 minutes)Offer stage #J-*****-Ljbffr

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:49 min

Augmenting junior and principal engineering roles with AI

Neel Sundaresan Neel Sundaresan +1 ¡ World Congress 2026 Europe

5:48 min

Balancing delivery latency with stream reliability and scale

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4:42 min

Building robust data structures with structs and bound functions

Rainer Stropek Rainer Stropek ¡ World Congress 2021

2:36 min

Applying supervised machine learning for practical rule extraction

Katja Träumner

1:44 min

Summarizing developer experience and artificial intelligence companions

Robert Hoffmann Robert Hoffmann +1 ¡ LIVE

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Accessing API documentation and testing remote driving latency

Alexandru Ciinaru Alexandru Ciinaru +3 ¡ World Congress 2025

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