
Senior Engineer for Autonomous Investment Platform
Há 2 dias
Replicats is building an AI-powered autonomous investment platform that brings institutional-grade portfolio management to everyone.
Our system combines advanced quant models, real-time data processing, smart contract vaults, and conversational LLMs into a scalable architecture capable of running 100k+ agents in parallel.
The RoleWe're looking for a Technical Lead with deep expertise in data and backend systems to architect, optimize, and scale the 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.
Key Responsibilities- Own design and implementation of real-time data pipelines 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 platform.
- Collaborate with smart contract engineers to ensure vault and execution layers are tightly integrated with backend systems.
- Define best practices in CI / CD, observability, and system reliability.
- Mentor engineers and set the technical direction for backend and data systems.
- 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.
- 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 or LLM-driven products.
- 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 founding team, moving fast to define a new category: AI Wealth Management.
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