AI Engineer

Prospera AI es una compañía de tecnología financiera que permite a los asesores patrimoniales escalar sus servicios sin perder la conexión humana mediante Sophie, una compañera de IA especializada en inteligencia conductual. Su plataforma transforma cada interacción con el cliente en datos profundos sobre sus motores emocionales, eliminando la brecha entre el crecimiento de la cartera de clientes y la calidad de la asesoría personalizada. En esencia, la empresa busca potenciar la capacidad de los asesores en Norteamérica para que ofrezcan una guía financiera experta y empática a una audiencia mucho más amplia.

🤓 As an AI Engineer, the company expects you to perform the following tasks:

Own the AI Pipeline

• Design and optimize our multi-agent orchestration system
• Implement parallelization and streaming to dramatically reduce response latency
• Build robust prompt management with versioning and A/B testing capabilities

Build RAG Systems

• Design retrieval-augmented generation for accurate, contextual responses
• AI Backend Engineer External 1
• Work with vector databases, embeddings, and relevance scoring
• Optimize for both speed and accuracy at scale

Develop Production APIs

• Build developer-friendly APIs connecting our AI capabilities to the frontend
• Design for future integrations with CRMs and advisor tools
• Implement proper authentication, rate limiting, and documentation

Shape the Foundation

• Establish code review practices and testing standards
• Document architecture decisions for future team members
• Contribute to technical patents and IP development

✨You are the person they are looking for if you have:

• 4+ years production Python experience (async patterns, type hints)
• Hands-on experience with LLM APIs (OpenAI, Anthropic, or similar)
• Strong understanding of prompt engineering and multi-step LLM workflows
• Production API development experience (FastAPI or similar)
• Strong SQL and PostgreSQL skills

💜They will be more enthusiastic about you if you also have:

• Experience with RAG systems and vector databases (Pinecone, Weaviate,pgvector)
• Streaming/real-time implementation experience (SSE, WebSockets)
• TypeScript/JavaScript familiarity
• FinTech or regulated industry background
• Self-directed and comfortable with ambiguity
• Strong written communication (async-first culture)
• Pragmatic problem-solver who ships iteratively
• Collaborative mindset with ego-free approach to feedback