Senior Software Engineer (AI Applications)

About AlphaSense:

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!

About the Role:

Seeking a passionate Senior Engineer to join our Content Engineering team. This team specializes in large-scale content processing using cutting-edge technologies. In this role, you'll leverage AI applications (NLP, LLM) for document understanding, including, but not limited to, document classification, text categorization, data extraction, and semantic similarity.

Requirements:

Must have

4+ years of experience as a software engineer, primarily with Python

Ideally, you possess an advanced degree (Bachelor's / Master's) in Computer Science, Computer Engineering, or a relevant field with a focus on Artificial Intelligence, machine learning, but equivalent industry experience may be considered

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.

Experience with LLM tracing, debugging and evaluation platforms such as Langfuse.

Excellent communication, organizational, problem-solving, debugging, and analytical skills.

Great to have

Experience in async processing of data at scale

Using frameworks like LangChain, HuggingFace, and backend web frameworks like FastAPI.

Expertise on core engineering skills - Cloud, microservice architecture, caching, and queuing.

Familiarity with concepts/tools as Docker, k8s, VCS, CI/CD

Previous experience in data extraction from specific domains (e.g., financial reports, news).

Responsibilities:

Deploy LLM based production grade solutions.

Fine-tune and adapt State of the art LLMs for specialized data extraction tasks. Develop innovative prompt engineering strategy and systems to maximize reliability and performance on confidential business documents.

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.

Integrate and manage LLM Observability to trace, debug, and monitor every extraction

Own systems end-to-end, including(but not limited to) designing, coding, monitoring, testing, CI/CD and on-call support.

In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works.

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