Senior Software Engineer (AI Applications) at AlphaSense

Pune, Maharashtra, India

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Market Intelligence, AI & Machine Learning, Content TechnologyIndustries

Skills

Key technologies and capabilities for this role

PythonNLPLarge Language ModelsAIContent ProcessingScalable Solutions

Questions & Answers

Common questions about this position

What experience is required for this Senior Engineer role?

Candidates must have 5+ years of experience as a software engineer primarily with Python, 2+ years of NLP problem-solving experience, proficiency in Applied LLM using frameworks like LangChain and HuggingFace, familiarity with LLMs like Llama and Claude, and excellent communication and problem-solving skills.

What is the salary or compensation for this position?

This information is not specified in the job description.

Is this role remote or does it require office work?

This information is not specified in the job description.

What does the Content Engineering team at AlphaSense focus on?

The team focuses on large-scale content processing using cutting-edge technologies, leveraging NLP and LLMs to extract insights from multi-modal documents and enhance AlphaSense Search and AI products.

What makes a strong candidate for this Senior Engineer position?

A strong candidate will have the must-have requirements like 5+ years Python experience and NLP/LLM proficiency, plus great-to-have skills such as async processing at scale, cloud/microservice expertise, Docker/k8s familiarity, and domain-specific data extraction experience; an advanced degree in CS/AI/ML is ideal but equivalent experience is considered.

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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