🕒 yesterday
Own a core engineering domain end to end, building and improving multimodal AI agents across voice, SMS, and email while shaping product decisions with customers and setting production quality practices.
Founding Engineer
🕒 yesterday
PythonFastapiTypeScriptReact
📜 Description
- Build and ship features across frontend applications, backend services, and real-time systems.
- Create data pipelines and internal tools for adding information sources and maintaining industry coverage.
- Improve agent-based parsing and extraction systems.
- Own work end to end, from data inspection and quality assurance to production releases and ongoing fixes.
- Develop a company ontology and an earnings research product.
🛠️ Requirements
- At least 2 years of experience building, shipping, and operating production systems, with approximately 7 years or fewer of professional experience.
- Hands-on experience building and deploying production agentic AI systems or LLM-based applications, with good judgment about when to use AI and when to use deterministic software.
- Full-stack capability, including Python backend development with FastAPI or an equivalent framework, TypeScript, React, data pipelines, and SQL.
- Experience with relational database design and optimization, preferably PostgreSQL, plus AWS infrastructure and deployment.
- Experience with production observability, distributed systems debugging, and real-time data or streaming updates.
- Strong ownership and depth in at least one of backend engineering, data infrastructure, applied AI, or product engineering.
- Capital markets, equity research, investment banking, or broader financial services experience is a plus. Familiarity with modern data tools, edge computing, or AI/ML tooling is also useful.
- U.S. citizenship is required, along with a full-time commitment and ability to work on-site in New York City.
✨ Benefits
- Base salary is $156,000 to $182,000 annually. Visa sponsorship is not available. Equity details were not provided.
Full job description
About the Role
Join an early-stage financial technology team building AI-powered research tools for professional investors, beginning with the healthcare sector. As a founding engineer, you will help develop the infrastructure and systems that turn diverse data sources into reliable, continuously updated industry models.
What You'll Do
Build and ship features across frontend applications, backend services, and real-time systems.
Create data pipelines and internal tools that help analysts add information sources and maintain industry coverage.
Improve agent-based parsing and extraction systems for greater reliability and capability.
Own work end to end, including data inspection, quality assurance, instrumentation, production releases, and ongoing fixes.
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 approximately 7 years or fewer of professional experience.
Hands-on experience building and deploying production agentic AI systems or LLM-based applications, with good judgment about when to use AI and when to use deterministic software.
Full-stack capability, including Python backend development with FastAPI or an equivalent framework, TypeScript, React, data pipelines, and SQL.
Experience with relational database design and optimization, preferably PostgreSQL, plus AWS infrastructure and deployment.
Experience with production observability, distributed systems debugging, and real-time data or streaming updates.
Strong ownership and depth in at least one of backend engineering, data infrastructure, applied AI, or product engineering.
Capital markets, equity research, investment banking, or broader financial services experience is a plus. Familiarity with modern data tools, edge computing, or AI/ML tooling is also useful.
U.S. citizenship is required, along with a full-time commitment and ability to work on-site in New York City.
Compensation & Benefits
Base salary is $156,000 to $182,000 annually. Visa sponsorship is not available. Equity details were not provided.
Location
On-site in New York, New York, five days per week. Candidates must be local or willing to relocate.
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