Staff Software Engineer at AlphaSense

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AI, Market IntelligenceIndustries

Requirements

Expert in building scalable, high-performing, and robust applications in Python
Several years of production-level experience designing, deploying, and maintaining Python-based systems
Hands-on experience (1–2 years) working with AI/ML models such as LLMs, BERT, or similar architectures
Strong understanding of algorithms, data structures, complexity analysis, problem-solving, and object-oriented design
Proficient with Kubernetes or equivalent container orchestration platforms
Deep understanding of SQL/NoSQL databases and data modeling principles
Experience working with cloud infrastructure (AWS, Azure, or GCP) and Infrastructure as Code (IaC) tools
Experience in owning services end-to-end — building, running, performing iterative improvements and observability
Strong experience in writing RFCs, creating technical documentation, and driving engineering best practices

Responsibilities

Design and deliver production-grade systems and scalable AI/ML pipelines, integrating models such as LLMs, BERT, and other architectures into AlphaSense product
Drive technical excellence through robust system design, algorithm optimization, and high-performance model deployment
Collaborate cross-functionally with product and business stakeholders to align technical strategies with roadmap goals, ensuring business impact and delivery predictability
Own end-to-end execution — from requirements to release — facilitating technical discussions, unblocking teams, and accurately forecasting deliverables
Ensure quality and reliability by proactively engaging in release planning, maintaining high development standards, and upholding service SLOs/SLIs in production
Apply strong DevOps practices to monitor, troubleshoot, and optimize production systems, anticipating and resolving risks early
Partner with other Engineers in the team to shape engineering standards, mentor peers across teams, and cultivate a culture of learning, documentation, and shared technical ownership

Skills

Python

AI/ML

Large Language Models

LLMs

BERT

system design

algorithm optimization

model deployment

scalable pipelines

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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