L5-L6 Senior Full Stack Engineer/ RAG

About the role

As one of the first engineering hires, you will help build the engineering team from the ground up. You will set the technical culture, make foundational architecture decisions, and own the craft of the product in a way that is rarely possible at any other stage.

Responsibilities

• Span LLM orchestration, vector search, financial data pipelines, and a research UX that demands precision.
• Significant professional software engineering experience (typically 5+ years) with clear evidence of increasing scope and ownership.
• Full Stack Capability: Production-grade full stack ability to own features end-to-end (backend-heavy is acceptable, but comfortable working in the frontend as needed).
• Architecture & Systems Thinking: Strong capability to design clean, extensible architectures and make pragmatic tradeoffs under uncertainty.
• Security & Infrastructure: Deep awareness of security in real-world deployments (handling sensitive data in on-prem, air-gapped, or regulated environments), thinking in terms of threat models.
• Experience operating across cloud, multi-cloud, hybrid, and on-prem environments.
• Core Tech Stack: Strong Python backend fundamentals (API design, async patterns, data modeling, performance profiling) and comfort with modern frontend frameworks (React/TypeScript preferred).
• AI/RAG: Genuine comfort working with LLM APIs and retrieval-augmented systems as a primary engineering surface.

Requirements

• Strong communication, judgment, ability to navigate ambiguity, and decision-making skills in a high-trust team.

Qualifications

Prior experience in fintech or quantitative research is not required — intellectual curiosity and engineering rigor are paramount.

Skills

• Significant professional software engineering experience (typically 5+ years)
• Production-grade full stack ability to own features end-to-end (backend-heavy is acceptable, but comfortable working in the frontend as needed)
• Strong capability to design clean, extensible architectures and make pragmatic tradeoffs under uncertainty
• Deep awareness of security in real-world deployments (handling sensitive data in on-prem, air-gapped, or regulated environments)
• Experience operating across cloud, multi-cloud, hybrid, and on-prem environments
• Strong Python backend fundamentals (API design, async patterns, data modeling, performance profiling)
• Comfort with modern frontend frameworks (React/TypeScript preferred)
• Genuine comfort working with LLM APIs and retrieval-augmented systems as a primary engineering surface

Benefits

Early-stage cash compensation complemented by meaningful equity and ownership in the business.

Pay

$150K–$200K + equity

Schedule

Onsite 5 days a week in Flatiron District, NYC