
Hover or tap a row for full statistics (EUR / month on this chart).
Salary analysis
Compared with the selected benchmark ("All roles in Bengaluru, India"), this listing's salary midpoint is about 95% lower. The offer sits below the benchmark range (€9,260–€13,890). The listed pay band (€473–€606) is tighter than the benchmark, which suggests lower salary variability. This benchmark is based on 3 comparable listings.
| Market | Lower bound (25th percentile) | Median | Upper bound (75th percentile) |
|---|---|---|---|
| Market Average: Software Engineer | €3,500/per month | €5,750/per month | €12,047/per month |
| All roles in Bengaluru, India | €9,260/per month | €13,890/per month | €13,890/per month |
| Pay in our data — not quoted in ad (Senior) | €473/per month | €539/per month | €606/per month |
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.
Job Details
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 design, coding, monitoring, testing, CI/CD and on-call support.
Requirements
- 4+ years of experience as a software engineer, primarily with Python
- 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
Skills & Technologies
Education Level
Masters
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