Senior Software Engineer

AlphaSense; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

AlphaSense is seeking a Senior Engineer for the Content Engineering team in Bengaluru to drive large-scale content processing using AI, NLP, and LLMs. You will work on document understanding, classification, data extraction, and semantic similarity, leveraging LangChain, Langfuse, and FastAPI in production systems.

You will deploy AI-powered pipelines, refine prompts, and optimize performance and reliability for confidential business documents, collaborating with cross‑functional teams to scale

Qualifications

• 4+ years as a software engineer, primarily with Python.
• 2+ years building/deploying applications using LLMs.
• Experience extracting structured JSON from text with LLMs and prompt engineering.
• Proficiency in NLP tasks like NER and text classification, pre-processing.
• Experience with LLM tracing, debugging and evaluation platforms like Langfuse.

Responsibilities

• Deploy LLM-based production-grade solutions.
• Fine-tune and adapt state-of-the-art LLMs for data extraction tasks and develop prompt engineering strategies.
• Solve engineering challenges such as latency and non-deterministic output for LLMs.
• Scale data processing pipelines for high-volume document processing with accuracy.
• Integrate and manage LLM observability to trace, debug, and monitor extractions.
• Own end-to-end systems including design, coding, monitoring, CI/CD, and on-call support.

Skills

Python

LLMs

NLP

Prompt Engineering

NLP libraries

LLM tracing

Langfuse

LangChain

HuggingFace

FastAPI

Docker

k8s

CI/CD

Education

Bachelor's/Master's in CS/CE or AI-focused program

Tools

LangChain

HuggingFace

FastAPI

Docker

Kubernetes

CI/CD

Job description

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.

AlphaSense is an equal‑opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense’s commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non‑merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination.

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.