
Staff AI Platform Engineer
About this role
AlphaSense is seeking a Staff AI Platform Engineer in New York, New York to scale distributed systems that power advanced AI applications for enterprise customers. This position is ideal for an experienced technical leader who wants to shape the future of market intelligence and guide engineering excellence.
Role Overview
In this capacity, you will transform how AI-powered systems operate at a massive scale by bringing world-class engineering standards to production. Working closely with researchers and machine learning experts, your mission is to ensure that cutting-edge AI innovations run reliably for thousands of enterprise clients. You will enjoy significant autonomy to shape technical architecture while mentoring talented developers and implementing robust operational practices.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
AlphaSense delivers trusted market intelligence and search technology built on proven artificial intelligence to help sophisticated organizations remove uncertainty from critical decisions. Serving over 6,000 enterprise customers, including a majority of the S&P 500, the company aggregates public and private data sets such as corporate filings, equity research, event transcripts, and news. Founded in 2011 and headquartered in New York City, AlphaSense employs over 2,000 people globally with international offices spanning multiple continents.
How to Apply
Candidates interested in this opportunity should visit the official AlphaSense careers page to submit their application securely.
Skills and tech stack
Questions candidates ask
What is the location of the Staff AI Platform Engineer role?
The position is based in New York, New York, United States.
How many years of experience are required for this job?
Candidates must have 7+ years of experience building and operating distributed systems in production.
What is the salary range for this role?
The base compensation range is $203,000 to $304,000 USD, depending on factors like candidate experience and expertise.
What technical skills are highlighted for the position?
Key technical skills include Kubernetes, large language models (LLM), and retrieval-augmented generation (RAG).
Is equity or benefits provided with this position?
Yes, employees may be offered equity alongside a generous benefits program.