Principal Software Engineer, AI at AlphaSense

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Financial ServicesIndustries

Requirements

10+ years of professional software engineering experience, with a proven track record of building complex, data-intensive, backend systems
Deep expertise (5+ years) in building and scaling production-grade services using modern backend frameworks such as FastAPI, Django, Sanic, Spring Boot or similar
Significant, hands-on experience (3+ years) in the complete lifecycle of AI/ML models: from experimentation and prototyping to deploying, monitoring, and iterating on them in a high-volume cloud environment
Mastery in designing large-scale distributed systems, demonstrating strong knowledge of asynchronous patterns, streaming/queuing/caching strategies, and robust observability (logging, metrics, tracing)
Exceptional communication and leadership skills. You can articulate complex technical concepts to diverse audiences and have the ability to influence engineering direction across multiple teams without direct authority

Responsibilities

Spearhead AI Innovation: Act as the chief technical authority on AI, research, evaluate, and prototype cutting-edge solutions using Large Language Models (LLMs), Computer Vision, and other machine learning techniques to solve complex data extraction challenges
Architect for Scale: Design and build robust, highly scalable, and cost-effective AI services and data processing pipelines to process millions of documents daily with high reliability and throughput
Tackle Real-World AI Challenges: Systematically solve practical problems of production AI, including managing LLM latency and variance, developing sophisticated prompt engineering strategies, and building fault-tolerant, defensive systems that perform consistently
Be a Force Multiplier: Act as the key technical mentor and thought leader for the large engineering team and drive mission-critical initiatives to production

Skills

Key technologies and capabilities for this role

AIMachine LearningDocument ClassificationEntity ExtractionImage SearchNLPUnstructured Data ProcessingMultimedia ProcessingScalable Systems

Questions & Answers

Common questions about this position

What is the salary or compensation for this Principal Software Engineer role?

This information is not specified in the job description.

Is this Principal AI Engineer position remote or does it require office work?

This information is not specified in the job description.

What key skills are required for the Principal Software Engineer, AI role?

The role requires deep expertise in modern AI techniques including Large Language Models (LLMs), Computer Vision, and other machine learning methods, along with skills in architecting scalable AI services, data processing pipelines, prompt engineering, and production AI systems.

What is the company culture like at AlphaSense for this role?

This is a unique 'founding engineer' opportunity to shape the future of AI, acting as the primary AI/ML authority and key technical mentor and thought leader for the large engineering team.

What makes a strong candidate for this Principal AI Engineer position?

A strong candidate is a visionary, hands-on, seasoned engineer who thrives on solving massive-scale data challenges, with deep modern AI expertise to research, architect, and pioneer solutions as the foundational pillar and chief technical authority.

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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