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Senior Software Engineer

at Alphasenseindia

Bengaluru, onsite, senior, 4+ years

posted 18 Aug 2026

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  • HuggingFace
  • LangChain
  • Langfuse
  • LLM
  • Microservices
  • Prompt Engineering
  • NLP
  • Docker
  • Cloud
  • CI/CD
  • NER
  • FastAPI
  • Large Language Models
  • Python
  • Kubernetes

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.

What you would do

- 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.

Recruiting Scams and Fraud

We at AlphaSense have been made aware of fraudulent job postings and individuals impersonating AlphaSense recruiters. These scams may involve fake job offers, requests for sensitive personal information, or demands for payment. Please note:

Read from job-boards.greenhouse.io, last seen 1d ago.

- AlphaSense never asks candidates to pay for job applications, equipment, or training.

- All official communications will come from an @alpha-sense.com email address.

- If you’re unsure about a job posting or recruiter, verify it on our Careers page.

If you believe you’ve been targeted by a scam or have any doubts regarding the authenticity of any job listing purportedly from or on behalf of AlphaSense please contact us. Your security and trust matter to us.

What they are looking for

- 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).