AlphaSense

Senior AI Engineer

Bengaluru, Karnataka, India

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Information Technology & ServicesIndustries

Requirements

Candidates should possess strong software engineering skills in back-end engineering on complex, data-intensive applications with professional, real-world experience at scale, proficiency in Applied LLM/NLP using frameworks like LangChain and HuggingFace, hands-on experience building and deploying Open Source and Commercial LLMs such as Llama and Claude, deep understanding of Prompt Engineering, experience with back-end web frameworks like FastAPI, Django, or Sanic, experience in leading teams and/or projects in a full-stack environment, excellent communication, organizational, problem-solving, debugging, and analytical skills, experience designing large-scale software systems and writing high-quality code and tests, including handling error cases, asynchronous code, streaming data, caching, logging, and analytics, familiarity with Kubernetes, Docker, and cloud platforms like AWS, GCP, or Azure, and experience in deploying AI and search services to single-tenant cloud environments.

Responsibilities

The Senior AI Engineer will architect, design, and implement highly scalable services for AlphaSense AI and Search products, improve the reliability, latency, and cost-efficiency of AI and search services in cloud environments, translate product requirements into software architectures in collaboration with Product Management, solve challenges related to working with large language models, provide technical leadership and implement best practices for software development, and deploy AI and Search services to both SaaS and single-tenant cloud environments.

Skills

Deep Learning
Natural Language Processing (NLP)
Search Algorithms
Generative AI
Cloud Computing
Scalability
AI Platform Development
Software Architecture

AlphaSense

AI-driven financial research platform

About AlphaSense

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 monitors real-time data to highlight important insights, helping clients stay ahead in a rapidly changing market. Unlike its competitors, AlphaSense is particularly focused on data security, implementing advanced measures like the zero trust security model and secure data encryption. The goal of AlphaSense is to empower clients in making informed decisions, whether they are launching new products or providing strategic insights to executives.

New York City, New YorkHeadquarters
2011Year Founded
$1,248.2MTotal Funding
LATE_VCCompany Stage
Cybersecurity, AI & Machine Learning, Financial ServicesIndustries
1,001-5,000Employees

Benefits

Company Equity
Performance Bonus
Remote Work Options

Risks

Rapid AI adoption may homogenize creative outputs, reducing unique value of insights.
Tegus acquisition poses integration challenges, potentially disrupting service delivery.
Reliance on AI exposes AlphaSense to risks of biases and inaccuracies affecting client trust.

Differentiation

AlphaSense leverages AI to provide real-time insights, enhancing decision-making speed and accuracy.
The platform's Generative Search tool offers advanced search capabilities mimicking human analysts.
AlphaSense's acquisition of Tegus expands its content library, offering unmatched insights.

Upsides

Generative AI integration enhances AlphaSense's speed and reliability of financial insights.
The Tegus acquisition significantly expands AlphaSense's content library for comprehensive insights.
AI-driven tools are essential for financial institutions, aligning with AlphaSense's offerings.

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