
Hover or tap a row for full statistics (EUR / month on this chart).
Salary analysis
Compared with the selected benchmark ("In Remote - Global: Software Engineer"), this listing's salary midpoint is about 92% lower. The offer sits below the benchmark range (€7,100–€16,841). The listed pay band (€711–€1,206) is tighter than the benchmark, which suggests lower salary variability. This benchmark is based on 25 comparable listings.
| Market | Lower bound (25th percentile) | Median | Upper bound (75th percentile) |
|---|---|---|---|
| Market Average: Software Engineer | €3,500/per month | €5,750/per month | €12,307/per month |
| In Remote - Global: Software Engineer | €7,100/per month | €11,502/per month | €16,841/per month |
| Pay in our data — not quoted in ad (Mid-Level) | €711/per month | €959/per month | €1,206/per month |
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: - 6+ years of experience as a software engineer, primarily with Python - Advanced degree in Computer Science, Computer Engineering, or related field with focus on AI or machine learning - 2+ years of experience with Large Language Models (LLMs) - Experience in extracting structured JSON from text using LLMs and prompt engineering - Proficiency in NLP libraries for tasks like NER, text classification - Experience with LLM tracing, debugging platforms such as Langfuse - Excellent communication, problem-solving, and analytical skills Great to have: - Experience in async data processing at scale - Frameworks like LangChain, HuggingFace, FastAPI - Core engineering skills: Cloud, microservices, caching, queuing - Familiarity with Docker, k8s, VCS, CI/CD - Data extraction from specific domains (financial reports, news) Responsibilities: - Deploy production-grade LLM solutions - Fine-tune and adapt LLMs for data extraction - Develop prompt engineering strategies - Solve engineering challenges like latency and non-determinism - Scale data processing pipelines - Manage LLM observability - End-to-end system ownership AlphaSense is committed to equal opportunity employment and a respectful work environment. Beware of recruiting scams. All official communications come from an @alpha-sense.com email.
Job Details

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