We’re partnered with a cutting-edge Fintech startup building autonomous AI systems that transform how institutional investors generate and verify insights — think Next-Gen Bloomberg powered by reasoning, retrieval, and real-time intelligence.
They’re pre-Series A, scaling fast, and this is a rare chance to join at a pivotal moment with huge ownership and the opportunity to shape the foundation of their AI infrastructure.
What You’ll Work On
Depending on your strengths, you could:
• Design evaluation frameworks and orchestration logic that keep agent systems accurate, explainable, and production-ready.
• Build and scale a data-centric intelligence layer, connecting market entities, instruments, and events in real time.
• Develop modular pipeline and automation tooling to ship workflows faster and with full observability.
• Engineer high-performance APIs, connectors, and dashboards that power live financial analysis at scale.
What They’re Looking For
• 4+ years of software or data engineering experience (Python + TypeScript preferred).
• Proven experience with AI-driven, data-intensive, or workflow orchestration systems.
• Strong foundation in data modeling, graph or relational databases, and system design for scale.
• Familiarity with financial data, market analytics, or quant-style problem solving is a plus.
• Startup mindset — curious, adaptable, and motivated to own complex problems end to end.
Why Join
• Work directly with founding engineers building the next generation of AI-powered financial intelligence tools.
• Shape the systems that bring trust, reasoning, and automation to institutional finance.
• Competitive salary, meaningful equity, and a hybrid NYC setup (3 days onsite).
If you’re an ambitious engineer who thrives in complex, data-driven environments and wants to help shape the future of AI-powered finance, this is your opportunity to build something genuinely groundbreaking.
