Skill needed: Typescript, React, Python, LLMs, FastAPI, Artificial Intelligence.
Employer: Prosper AI
We're looking for a skilled Software Engineer to help design and scale advanced AI-driven voice agent platforms used in complex, real-time healthcare conversations. You'll work on building low-latency speech/LLM pipelines, orchestration layers, and reliability systems that drive high-stakes, user-facing AI products. This is a hybrid position in Barcelona, Spain, requiring 3 days/week onsite. 🎯 ResponsibilitiesDesign, build, and deploy end-to-end software products, from architecture through production readinessDevelop and maintain low-latency speech and large language model (LLM) pipelinesEngineer orchestration layers and systems focused on scalability, reliability, and performanceCollaborate on solutions for AI agents that require real-time reasoning and adaptivitySupport large-scale distributed deployments, ensuring effective handling of thousands of daily calls🛠️ Requirements3-5 years of experience delivering software products end-to-end, including architecture, implementation, and deploymentStrong understanding of relevant technologies: FastAPI (Python) backend and React (TypeScript) frontend, or similar stacks in other languagesHands-on experience working with LLMs, AI agents, or other machine learning models, including creating user-facing productsReady to address the challenges involved in deploying AI voice agents at scaleBachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Physics, or a related field, or equivalent practical experienceDemonstrates a founder mindset: strong ownership and a drive for learning and impact➕ Nice to haveFamiliarity with large-scale distributed systems and asynchronous workload orchestrationDirect experience with platforms such as Pipecat for voice agentsHiring 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 co-founder (60 minutes) Offer