TL;DR
Founding Engineer (AI): Building and optimizing scalable, high-performance APIs and AI-powered systems for modernizing M&A and private markets, with an accent on generating datasets and research reports using LLMs, applying evals and fine-tuning for accuracy. Focus on shaping product and architecture from the ground up, processing large datasets, and managing infrastructure with modern tools.
Location: Primarily on-site in New York City, with potential for remote arrangements for exceptional talent (US-based)
Company
hirify.global is on a mission to modernize M&A and bring efficiency to private markets with backing from top investors like Pear VC.
What you will do
- Architect and build scalable, high-performance APIs to serve financial data and product features.
- Develop AI-powered systems, generating datasets and research reports using LLMs, focusing on accuracy.
- Process large datasets efficiently using tools such as Airflow, Pandas, and Spark.
- Create high-scale systems for crawling sites and documents from the web.
- Manage infrastructure using Terraform, Docker, and AWS ECS.
- Shape the product and architecture from the ground up as an early team member.
Requirements
- 2+ years building scalable software systems.
- Expertise in Python and SQL.
Nice to have
- Comfort with data processing frameworks (Airflow, Pandas, Spark).
- Familiarity with infrastructure automation tools (Terraform, Docker).
- Background in LLM systems and Machine Learning.
Culture & Benefits
- Competitive compensation and a meaningful equity stake in the company.
- Comprehensive medical, dental, and vision coverage.
- Flexible work environment, valuing in-person collaboration in NYC with remote options for exceptional talent.
- Significant influence on product, culture, and future as an early team member.
- Investment in professional growth through courses, books, and conferences.
- Unlimited PTO.
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