Description review
Founding Engineer
Clera · Remote - New York · back to the listing
HR standards
64/100
needs work
Title ↔ description
87/100
strong
Reads as
Full-Stack Engineer
98% confident
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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.
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.