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Jobs located in New York City:

Backend Software Engineer

Our client is an early stage startup with the aim of making a big impact in the Financial Services AI space. They are building systems that can automate the most complex knowledge work in the world, e.g., financial analysis, research, due diligence, and more. They are already working with some of t...

Must Have: •Comfortable and experienced in the early startup workflow •5+ years of experience building and scaling distributed systems. •A deep understanding of how infrastructure-layer (Kubernetes, Database, OS...

Skills: Rust, go, python, java, golang, javascript, typescript, scala, c#, elixir, sql, cloud, aws, kubernetes, gcp...


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AI Engineer

Our client is an AI platform for accounting firms, providing accountants with a team of AI assistants. Accounting teams integrate the product directly into their accounting software (SAGE, Quickbooks, etc), delegating core workflows and automating time-consuming, manual work. With a $3.6M seed roun...

Must Have: •5-10 years of experience in ML engineering •Experience with Python, vector databases, and Large Language Models. •ML Engineering: Experience building out production ML systems around complex workflow...

Skills: python, vector, llm, chatgpt, bard, gemini, elasticsearch, sql, aws, cloud, tensorflow, pytorch, mlops...


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Software Engineer

Our client is an AI platform for accounting firms, providing accountants with a team of AI assistants. Accounting teams integrate the product directly into their accounting software (SAGE, Quickbooks, etc), delegating core workflows and automating time-consuming, manual work. With a $3.6M seed roun...

Must Have: •5-10 years of experience in the field; open to exceptional candidates with fewer years but strong experience •Computer Science or relevant degree •Experience with Python, Typescript, ReactJS, NextJS ...

Skills: python, reactjs, nextjs, cloud, aws, sql, postgresql, vector...


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Senior Data Engineer

Our client is an early stage startup with the aim of making a big impact in the Financial Services AI space. They are building systems that can automate the most complex knowledge work in the world, e.g., financial analysis, research, due diligence, and more. They are already working with some of t...

Must Have: •5+ years of industry experience as a data engineer •Highly proficient with Python and SQL, and an intuitive understanding of multi-threading, multi-processing, asyncio, and other concurrency primitiv...

Skills: python, airlfow, snowflake, databricks, aws, azure, etl, sql, nosql, llm, postgres, Elasticsearch...


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