AI Engineer at Travel With Lani

Barcelona, Catalonia, Spain -

Full Time

Start Date

Immediate

Expiry Date

29 May, 26

Salary

0.0

Posted On

28 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI, LLMs, Speech, Low-Latency, Orchestration, Reliability Systems, Python, Algorithms, Data Structures, Software Engineering, ML Models, Voice Agents

Industry

Internet Publishing

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 an AI Engineer, you’ll be at the center of designing and scaling 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 and/or deploying ML/AI models to production at scale. Solid grasp of algorithms, data structures, and software engineering best practices, especially in Python. Experience working with LLMs, AI agents or other ML models, and an understanding of how they work to build around their limitations. 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

Responsibilities

The engineer will be central to designing and scaling the low-latency speech/LLM pipelines, orchestration layers, and reliability systems necessary for real-time AI voice agents. This involves pushing the limits of AI to create systems that sound human and adapt instantly to complex healthcare conversations.