Prosper AI

We're looking for an experienced Software Engineer eager to shape and scale advanced AI systems for real-world healthcare applications.

🎯 Responsibilities

1. Design, architect, and deploy production-grade software solutions from end to end
2. Build and optimize low-latency speech and language model (LLM) pipelines
3. Develop and maintain orchestration layers and reliability systems for real-time conversational AI
4. Scale complex distributed systems to handle large volumes of asynchronous workloads
5. Tackle the technical challenges involved in deploying and operating AI voice agents for thousands of daily phone calls

🛠️ Requirements

1. 3-5 years of experience building end-to-end software products
2. Strong background with technologies such as FastAPI (Python) for backend and React (TypeScript) for frontend, or equivalent experience with similar stacks
3. Proven experience managing large-scale distributed systems with asynchronous workload orchestration
4. Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Physics, or related field (or equivalent experience)
5. Ownership mentality with a drive to solve hard problems and learn rapidly

➕ Nice to have

1. Familiarity with large language models (LLMs), AI agents, or other machine learning models
2. Experience with Pipecat or similar voice AI platforms
3. Interest in entrepreneurship and a vision for using this experience as a springboard for future ventures

We're looking for a proactive Software Engineer ready to tackle real-time AI challenges in healthcare and drive impactful platform engineering.

🎯 Responsibilities

1. Design and scale platform architecture, enabling low-latency speech/LLM pipelines and reliable orchestration layers
2. Develop and deploy production-grade software, ensuring high performance under real-time constraints
3. Build and maintain end-to-end features from initial architecture to deployment
4. Manage distributed systems with asynchronous workload orchestration
5. Optimize systems to handle high volumes, supporting thousands of daily AI-driven healthcare phone calls
6. Collaborate with cross-functional teams to integrate advanced AI/ML solutions

🛠️ Requirements

1. 1-3 years’ experience building and deploying end-to-end products
2. Solid understanding of FastAPI (Python) backends and React (TypeScript) frontends, or equivalent technology stacks
3. Experience managing large-scale distributed systems with asynchronous orchestration
4. Ready to solve challenges involved in deploying large-scale AI voice agents
5. Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Physics, or related field (or equivalent experience)
6. Strong ownership mentality, entrepreneurial drive, and commitment to hard work

➕ Nice to have

1. Familiarity with LLMs, AI agents, or machine learning models
2. Experience with Pipecat voice agents or similar platforms
3. Interest in leveraging experience as a potential step toward founding a startup

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.

🎯 Responsibilities

1. Design, build, and deploy end-to-end software products, from architecture through production readiness
2. Develop and maintain low-latency speech and large language model (LLM) pipelines
3. Engineer orchestration layers and systems focused on scalability, reliability, and performance
4. Collaborate on solutions for AI agents that require real-time reasoning and adaptivity
5. Support large-scale distributed deployments, ensuring effective handling of thousands of daily calls

🛠️ Requirements

1. 3-5 years of experience delivering software products end-to-end, including architecture, implementation, and deployment
2. Strong understanding of relevant technologies: FastAPI (Python) backend and React (TypeScript) frontend, or similar stacks in other languages
3. Hands-on experience working with LLMs, AI agents, or other machine learning models, including creating user-facing products
4. Ready to address the challenges involved in deploying AI voice agents at scale
5. Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Physics, or a related field, or equivalent practical experience
6. Demonstrates a founder mindset: strong ownership and a drive for learning and impact

➕ Nice to have

1. Familiarity with large-scale distributed systems and asynchronous workload orchestration
2. Direct experience with platforms such as Pipecat for voice agents