Autonomous Investment Systems Architect

Há 4 dias

Curitiba, Paraná, Brasil beBeeTechnical Tempo inteiro R$1.800.000 - R$2.200.000

About Our Infrastructure

We are developing an AI-powered platform that brings institutional-grade portfolio management to everyone. Our architecture combines advanced quant models, real-time data processing, smart contract vaults, and conversational LLMs into a scalable system capable of running 100k+ agents in parallel. We need a technical leader who can own backend and data infrastructure at scale.

The Role

We're looking for a Principal Engineer with deep expertise in data and backend systems to architect, optimize, and scale our core infrastructure. You'll be hands-on designing resilient data pipelines, ensuring our quant models and LLMs run seamlessly in production, and building the backend services that power autonomous investment agents. You'll also be a multiplier — raising engineering standards, mentoring the team, and making foundational decisions that shape the product.

Responsibilities

  • Own design and implementation of real-time data pipelines (market data, user interactions, agent logs) with low-latency and fault tolerance.
  • Architect backend services powering agent orchestration, portfolio optimization, and execution.
  • Optimize performance and cost efficiency across distributed systems running at scale.
  • Work closely with quant researchers and AI / LLM engineers to deploy trading algos and integrate them into the system.
  • Collaborate with smart contract engineers to ensure vault and execution layers are tightly integrated with backend services.
  • Define best practices in CI / CD, observability, and system reliability.
  • Mentor engineers and set the technical direction for backend and data systems.

Requirements

  • 7+ years of experience in backend and data engineering.
  • Strong experience in distributed data processing (e.g., Flink, Kafka, Spark) and real-time streaming systems.
  • Proven track record of building and scaling microservice architectures (Python / FastAPI, Go, or similar).
  • Deep understanding of database systems (SQL and NoSQL) and data modeling for high-throughput environments.
  • Experience deploying and monitoring ML / quant models in production.
  • Comfort working in high-ambiguity startup environments and making architectural bets.
  • Bonus : experience with blockchain integrations, financial data systems, or LLM-driven products.

Why Join Us

  • Work at the intersection of AI, finance, and technology.
  • Own the hardest technical problems in a system designed to scale from thousands to hundreds of thousands of autonomous agents.
  • Be part of a pioneering team defining a new category: AI Wealth Management.

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