Founding Engineer

Wwshemi; New York (NY); On-site; USD 156,000 - 182,000; Full time

Job summary

Wwshemi, a small early-stage team building AI-powered research tools for professional investors, is hiring a founding engineer in New York City to build the infrastructure and products that turn diverse data sources into reliable, continuously updated industry models.

You will own end-to-end projects, shipping frontend features, data pipelines, and backend systems, while shaping an ontology and an earnings research product. This on-site role offers a base salary of $156,000 to $182,000 per year.

Qualifications

• 2+ years building, shipping, operating production systems (up to ~7 years).
• Hands-on experience deploying agentic AI systems or LLM-based apps in production.
• Proficient in Python backend development, FastAPI or equivalent, and data pipelines.
• Full-stack across Python, TypeScript, React; experience with ETL and data modeling.
• Experience with SQL and PostgreSQL; knowledge of AWS and distributed systems observability.

Responsibilities

• Build and ship features across frontend, real-time systems, and backend infrastructure.
• Create data pipelines and internal tools to support analysts and sector coverage.
• Improve agent-based parsing and extraction systems for reliability.
• Own projects end to end: data inspection, QA, instrumentation, releases, debugging.
• Develop a company ontology and an earnings research product.

Skills

Full-stack development

Production systems

Agentic AI systems

Data pipelines

Ownership

Cross-functional collaboration

Tools

Python

FastAPI

TypeScript

React

SQL

PostgreSQL

AWS

Job description

Join a small, early-stage team building AI-powered research tools for professional investors, starting with healthcare. As a founding engineer, you will build the infrastructure and products that help AI agents turn diverse data sources into reliable, continuously updated industry models.

What You'll Do

• Build and ship features across frontend applications, real-time systems, and backend infrastructure.
• Create data pipelines and internal tools that help analysts add sources and maintain sector coverage.
• Improve agent-based parsing and extraction systems for greater capability and reliability.
• Own projects end to end, including data inspection, quality assurance, instrumentation, production releases, and debugging.
• Develop a company ontology and an earnings research product.

What We're Looking For

• At least 2 years of experience building, shipping, and operating production systems, with up to approximately 7 years of professional experience.
• Hands‑on experience building and deploying agentic AI systems or LLM‑based applications in production, including recent work on AI projects.
• Full‑stack capability across Python backend development, FastAPI or an equivalent framework, data pipelines, and TypeScript and React.
• Experience with ETL, data modeling, SQL, relational database design and optimization, and PostgreSQL or similar systems.
• Experience with AWS, real-time data systems, observability, monitoring, and debugging distributed systems.
• Strong ownership, sound judgment about when to use AI agents versus deterministic systems, and willingness to work across unfamiliar technologies.
• Financial research, capital markets, investment banking, or broader financial services experience is helpful. Familiarity with modern data tools, edge infrastructure, or AI/ML tooling is also a plus.
• Must be a U.S. citizen and able to work on-site in New York City. Full‑time commitment required.

Base salary: $156,000 to $182,000 annually. Visa sponsorship is not available.