Senior Software Engineer
AlphaSense2 months ago
Bengaluru, IndiaSenior
Responsibilities
- Deploy production-grade solutions based on large language models.
- Fine-tune and adapt state-of-the-art LLMs for specialized data extraction tasks.
- Develop prompt engineering strategies and systems to improve reliability and performance on confidential business documents.
- Solve engineering challenges in LLM systems, including high latency and nondeterministic outputs.
- Implement and scale high-volume data processing pipelines for complex documents.
- Integrate and manage LLM observability to trace, debug, and monitor extraction processes.
- Own systems end to end, including design, coding, monitoring, testing, CI/CD, and on-call support.
Requirements
- At least 4 years of experience as a software engineer, primarily using Python.
- At least 2 years of hands-on experience building and deploying applications that use large language models.
- Experience extracting structured JSON from text with LLMs and a deep understanding of prompt engineering.
- Proficiency with classic NLP libraries for named entity recognition, text classification, and preprocessing.
- Experience with LLM tracing, debugging, and evaluation platforms such as Langfuse.
- A Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a relevant AI or machine learning-focused field is ideally preferred, with equivalent industry experience considered.
- Experience with asynchronous processing of data at scale and familiarity with cloud systems, microservice architecture, caching, and queuing are preferred.
- Familiarity with Docker, Kubernetes, version control systems, and CI/CD is preferred.
- Experience extracting data from domains such as financial reports or news is preferred.
Tech Stack
Categories
AI ApplicationsData Engineering
About AlphaSense
AlphaSense builds an AI-powered market intelligence and search platform used by investment, corporate strategy, and research teams to find insights across public and private content (equity research, filings, transcripts, expert calls, news, and internal documents). It sells enterprise subscriptions to its SaaS platform and content sets. Founded in 2011 and headquartered in New York, the company is privately held and acquired Tegus in 2024; its customers include a majority of the S&P 500.