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Full-Time

AI Platform Software Engineer

Posted on 9/4/2024

AlphaSense

AlphaSense

1,001-5,000 employees

AI-driven financial research platform for insights

AI & Machine Learning
Financial Services

Compensation Overview

$160k - $230kAnnually

+ Performance-based bonus + Equity + Generous benefits program

Mid, Senior

New York, NY, USA

Category
Backend Engineering
Software Engineering
Required Skills
Kubernetes
Microsoft Azure
Python
JavaScript
Java
Docker
AWS
Elasticsearch
Terraform
FastAPI
Django
Google Cloud Platform
Requirements
  • Strong software engineering skills in back-end engineering on complex, data-intensive applications with professional, real-world experience with applications at scale
  • Deep, hands-on experience across a few back-end web frameworks like FastAPI, Django, Sanic etc
  • Proficiency in Python and familiarity with one or more of the following: Terraform, GraphQL, Javascript, Solr, Elasticsearch, Vector Search or Java.
  • Familiarity with Kubernetes, Docker, and cloud platforms such as AWS, GCP, or Azure.
  • Experience in deploying AI and search services (e.g., vector search) to single-tenant cloud environments.
  • Curiosity and enthusiasm for the capabilities of language models with hands-on experience working on Frontier and open source Large Language Models (LLM), prompt tuning, and retrieval-augmented generation (RAG) architecture
  • Demonstrated experience with one or more serious projects (great side projects are fine) of using them in interesting ways on a unique domain
  • Excellent communication, organizational, problem-solving, debugging, and analytical skills.
Responsibilities
  • Architect, design, and implement highly scalable backend services for AlphaSense AI and Search products.
  • Improve the reliability, latency, and cost-efficiency of AI and search services in cloud environments.
  • Deploy AI and Search services to single-tenant cloud environments.
  • Translate product requirements into software architectures in collaboration with Product Management.
  • Solve challenges that come along with working with large language models (high latency, variance, etc.), leading to a defensive, fault-first mindset.
  • Provide technical leadership and implement best practices for software development.

AlphaSense provides a financial research platform that uses artificial intelligence to help clients gain insights into various companies, industries, and market trends. Users can search through a vast library of over 300 million documents, which includes both external and proprietary content. The AI technology streamlines the research process by automating repetitive tasks, allowing clients to concentrate on analyzing the information instead. Additionally, AlphaSense offers real-time monitoring of critical insights, helping clients stay ahead of market trends, which is especially important in a fluctuating economic environment. Unlike its competitors, AlphaSense is highly regarded for its focus on data security, employing advanced security measures to protect client information. The goal of AlphaSense is to empower clients to make informed decisions in their financial strategies, whether they are launching new products or providing insights to executives.

Company Stage

Series E

Total Funding

$770M

Headquarters

New York City, New York

Founded

2011

Growth & Insights
Headcount

6 month growth

13%

1 year growth

28%

2 year growth

47%
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Simplify's Take

What believers are saying

  • AlphaSense's $650 million funding round and $4 billion valuation reflect strong investor confidence and financial stability.
  • The acquisition of Tegus and the appointment of a new Chief Marketing Officer signal aggressive growth and expansion strategies.
  • AlphaSense's platform is trusted by top financial institutions and corporations, indicating a strong market position and potential for continued revenue growth.

What critics are saying

  • The integration of Tegus could present challenges in aligning company cultures and technologies, potentially disrupting operations.
  • The rapid expansion and high valuation may lead to increased scrutiny and pressure to deliver consistent financial performance.

What makes AlphaSense unique

  • AlphaSense leverages advanced AI to provide real-time insights from a vast library of over 300 million documents, setting it apart from traditional financial research platforms.
  • The company's strong emphasis on data security, including zero trust security models and secure data encryptions, ensures client trust in handling sensitive financial information.
  • AlphaSense's recent acquisition of Tegus significantly expands its content library and enhances its market-leading AI search technology, providing unmatched insights into both public and private companies.
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