Senior Software Engineer
AlphaSense, Inc.Market Intelligence company
Bangalore, IndiaSenior
Goldman Sachs
CapitalG
SoftBank Vision Fund 2
Viking Global Investors
BDT & MSD Partners
J.P. Morgan Growth Equity Partners
Data & AI
About the role
TL;DR
Senior Engineer to deploy LLM-based production solutions for content processing.
- •The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making.
- •With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust.
- •Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content.
- •The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence.
- •Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets.
- •Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500.
- •Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland.
- •Come join us! Key Responsibilities Deploy LLM based production grade solutions.
- •Fine-tune and adapt State of the art LLMs for specialized data extraction tasks.
- •Solve Engineering challenges that come along with LLM solutions, such as high latency, non-deterministic output, etc.
- •Implement and scale data processing pipelines that can process high volumes of complex documents with high accuracy and efficiency.
- •Own systems end-to-end, including designing, coding, monitoring, testing, CI/CD and on-call support.
- •Requirements 4+ years of experience as a software engineer, primarily with Python.
- •Ideally, an advanced degree in Computer Science, Computer Engineering, or a relevant field with a focus on Artificial Intelligence, machine learning. 2+ years of hands-on experience building and deploying applications that use Large Language Models (LLMs).
- •Experience in extracting structured JSON from text using LLMs and a deep understanding of Prompt Engineering.
- •Proficiency in classic NLP libraries for tasks like NER, text classification, and pre-processing.
Required skills
PythonLLMsNLPDockerKubernetesCI/CDGit
Nice-to-have skills
LangChainHugging FaceFastAPI
Domain expertise
aiproductivity
Tech stack
PythonNLPLLMsLangChainHugging FaceFastAPIDockerKubernetesGitCI/CD